From 8c5e0937d740fa33acf476f60eb683feb9005a2d Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 4 Dec 2016 01:10:30 +0100 Subject: [PATCH 01/47] Added Selection by Roulette --- Genetic_Algorithm.py | 27 ++++++++++++++++++++++++++- 1 file changed, 26 insertions(+), 1 deletion(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 489d44b..7221d1a 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -94,6 +94,14 @@ def __Generate_Child_flip(self, item): child[index[0]:index[1]] = revert[::-1] return child + def __Generate_Child_flip(self, item): + child = copy.copy(item) + index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] + index.sort() + revert = copy.copy(item[index[0]:index[1]]) + child[index[0]:index[1]] = revert[::-1] + return child + def __Generate_Child(self, item): if self.__TYPECHILD is CHILD_FLIP: return self.__Generate_Child_flip(item) @@ -109,7 +117,24 @@ def __Fill_Next_Generation(self): return new_pull def __Roulette(self): - None + new_pull = copy.copy(self.__pull) + for i in (range(1, self.__rangechild)): + self.__pull[i][1]=self.__pull[i][1]+self.__pull[i-1][1] + for i in (range(0, self.__SIZE_PULL)): + self.__pull[i][2]=1 - (self.__pull[i][1]/self.__pull[self.__SIZE_PULL-1][1]) + + for i in (range(0, self.__rangechild)): + selec=random() + ant = 0 + for x in (range(0,self.__SIZE_PULL)): + if ant < selec and selec Date: Sun, 4 Dec 2016 18:32:02 +0100 Subject: [PATCH 02/47] Added Roulette, generate_child_split, pull with float and help --- Genetic_Algorithm.py | 202 +++++++++++++++++++++++++++++++------------ main.py | 7 +- 2 files changed, 151 insertions(+), 58 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 7221d1a..6c3b500 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -11,7 +11,8 @@ ROULETTE = 1 FILL_NEXT_GENERATION = 2 -CHILD_FLIP=10 +CHILD_FLIP = 10 +CHILD_SPLIT = 11 class B(Exception): pass @@ -19,11 +20,21 @@ class B(Exception): class GenecticException(B): what = None +class chormosoma_t(): + def __init__(self,n_chromosomes,maxvalue = None,minvalue = 0,chromosomes_is_float = False,): + self.N_CHRO = n_chromosomes + if maxvalue is None: + self.MAXVALUE = n_chromosomes + else: + self.MAXVALUE = maxvalue + self.MINVALUE = minvalue + self.CHRO_IS_F = chromosomes_is_float + class GeneticAlgorithm: - def __init__(self, n_chromosomes,fun_fitness, itmax=50, child_type=CHILD_FLIP, selection_type=FILL_NEXT_GENERATION, - High_Low=False, size_pull=1000, porcent_elitism=10, porcent_mute = 2): + def __init__(self,fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP, selection_type = FILL_NEXT_GENERATION, + High_Low = False, size_pull = 1000, porcent_elitism = 10, porcent_mute = 2): if selection_type not in [ROULETTE, FILL_NEXT_GENERATION]: a = GenecticException @@ -50,19 +61,25 @@ def __init__(self, n_chromosomes,fun_fitness, itmax=50, child_type=CHILD_FLIP, s self.__REVERSE = High_Low self.__SELECTION_TYPE = selection_type self.__SIZE_PULL = size_pull - self.__N_CHROMOSOMES = n_chromosomes - self.__pull=self.__Generate_pull() - self.__FUN_FITNESS=fun_fitness - self.__ITMAX=itmax - self.__TYPECHILD=child_type - self.__rangechild=(int)(self.__SIZE_PULL - self.__SIZE_PULL * self.__ELITISM) - self.__sizeelitism=(int)(self.__SIZE_PULL * self.__ELITISM) + self.__N_CHROMOSOMES = chromosomes.N_CHRO + self.__FUN_FITNESS = fun_fitness + self.__ITMAX = itmax + self.__TYPECHILD = child_type + self.__rangechild = (int)(self.__SIZE_PULL - self.__SIZE_PULL * self.__ELITISM) + self.__sizeelitism = (int)(self.__SIZE_PULL * self.__ELITISM) + self.__CHRO_IS_F = chromosomes.CHRO_IS_F + self.__CHRO_MAXVALUE = chromosomes.MAXVALUE + self.__CHRO_MINVALUE = chromosomes.MINVALUE + self.__pull = self.__Generate_pull() def __Generate_pull(self): - new_pull = [[[0 for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_PULL)] - for i in range(0, self.__SIZE_PULL): - new_pull[i][0] = sample(range(self.__N_CHROMOSOMES), self.__N_CHROMOSOMES) - return new_pull + if self.__CHRO_IS_F is False: + ind = range(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) + new_pull = [[sample(ind,self.__N_CHROMOSOMES), 0, 0] for y in range(self.__SIZE_PULL)] + return new_pull + else: + new_pull = [[[uniform(self.__CHRO_MINVALUE,self.__CHRO_MAXVALUE) for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_PULL)] + return new_pull def __getKey(self, item): return item[1] @@ -70,7 +87,7 @@ def __getKey(self, item): def __Get_Individuos(self, individual): if individual not in range(0, self.__SIZE_PULL): a = GenecticException - a.what = "Error: individual",individual," not existing, 0 <= individual < " + str(self.__SIZE_PULL) + a.what = "Error: individual",individual," not existing, 0 < = individual < " + str(self.__SIZE_PULL) raise a return -1 return copy.copy(self.__pull[individual][0]) @@ -78,13 +95,13 @@ def __Get_Individuos(self, individual): def __Set_Fittnes(self, individual, Fittnes): if individual not in range(0, self.__SIZE_PULL): a = GenecticException - a.what = "Error: individual",individual," not existing, 0 <= individual < " + str(self.__SIZE_PULL) + a.what = "Error: individual",individual," not existing, 0 < = individual < " + str(self.__SIZE_PULL) raise a exit(-1) - self.__pull[individual][1]=Fittnes + self.__pull[individual][1] = Fittnes - def __sort_pull(self, rever=False): - self.__pull.sort(key=self.__getKey, reverse=rever) + def __sort_pull(self, rever = False): + self.__pull.sort(key = self.__getKey, reverse = rever) def __Generate_Child_flip(self, item): child = copy.copy(item) @@ -94,46 +111,90 @@ def __Generate_Child_flip(self, item): child[index[0]:index[1]] = revert[::-1] return child - def __Generate_Child_flip(self, item): - child = copy.copy(item) - index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] - index.sort() - revert = copy.copy(item[index[0]:index[1]]) - child[index[0]:index[1]] = revert[::-1] - return child + def __Generate_Child_split(self, item1,item2): + child1 = copy.copy(item1) + child2 = copy.copy(item2) + split = randint(1, self.__N_CHROMOSOMES - 1) + child1[0:split] = copy.copy(child2[0:split]) #[item1[::split],item2[split::]] + child2[split:self.__N_CHROMOSOMES] = copy.copy(item1[split:self.__N_CHROMOSOMES]) #[item2[::split],item1[split::]] + return self.__Replace_repeated(child1,child2,split) - def __Generate_Child(self, item): + def __Replace_repeated(self,child1,child2,split): + for i in range(0, split): + if child1[i] in child1[split:self.__N_CHROMOSOMES]: + for j in range(0, split): + if child2[j] in child2[split:self.__N_CHROMOSOMES]: + c1 = child1[i] + child1[i] = child2[j] + child2[j] = c1 + break + return [child1,child2] + + def __Generate_Child(self, item1,item2 = None): if self.__TYPECHILD is CHILD_FLIP: - return self.__Generate_Child_flip(item) + return self.__Generate_Child_flip(item1) + elif self.__TYPECHILD is CHILD_SPLIT: + return self.__Generate_Child_split(item1,item2) def __Fill_Next_Generation(self): - new_pull=copy.copy(self.__pull) - for i in (range(0, self.__rangechild)): - child = self.__Generate_Child(copy.copy(self.__pull[i][0])) - dest = i + self.__sizeelitism - if randint(0, 99) < self.__MUTE: - child = self.__mute_individuals(child) - new_pull[dest][0] = copy.copy(child) + new_pull = copy.copy(self.__pull) + if self.__TYPECHILD is CHILD_FLIP: + for i in (range(0, self.__rangechild)): + child = self.__Generate_Child(copy.copy(self.__pull[i][0])) + dest = i + self.__sizeelitism + if randint(0, 99) < self.__MUTE: + child = self.__mute_individuals(child) + new_pull[dest][0] = copy.copy(child) + elif self.__TYPECHILD is CHILD_SPLIT: + for i in (range(0, self.__rangechild,2)): + childs = self.__Generate_Child(copy.copy(self.__pull[i][0]),item2 = copy.copy(self.__pull[i+1][0])) + dest1 = i + self.__sizeelitism + dest2 = dest1+1 + if randint(0, 99) < self.__MUTE: + childs[0] = self.__mute_individuals(childs[0]) + if randint(0, 99) < self.__MUTE: + childs[1] = self.__mute_individuals(childs[1]) + new_pull[dest1][0] = copy.copy(childs[0]) + new_pull[dest2][0] = copy.copy(childs[1]) return new_pull def __Roulette(self): new_pull = copy.copy(self.__pull) - for i in (range(1, self.__rangechild)): - self.__pull[i][1]=self.__pull[i][1]+self.__pull[i-1][1] + for i in (range(1, self.__SIZE_PULL)): + self.__pull[i][1] = self.__pull[i][1]+self.__pull[i-1][1] for i in (range(0, self.__SIZE_PULL)): - self.__pull[i][2]=1 - (self.__pull[i][1]/self.__pull[self.__SIZE_PULL-1][1]) - - for i in (range(0, self.__rangechild)): - selec=random() - ant = 0 - for x in (range(0,self.__SIZE_PULL)): - if ant < selec and selec Date: Sun, 4 Dec 2016 20:19:47 +0100 Subject: [PATCH 03/47] Typo correction, style correction, and solved merge issues. Signed-off-by: JuanP Torres --- Genetic_Algorithm.py | 168 +++++++++++++++++++++---------------------- main.py | 7 +- 2 files changed, 83 insertions(+), 92 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 2854700..04e8df2 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -2,6 +2,7 @@ from random import * import copy +from time import * ROULETTE = 1 FILL_NEXT_GENERATION = 2 @@ -9,6 +10,7 @@ CHILD_FLIP = 10 CHILD_SPLIT = 11 + class B(Exception): pass @@ -16,8 +18,9 @@ class B(Exception): class GenecticException(B): what = None -class chormosoma_t(): - def __init__(self,n_chromosomes,maxvalue = None,minvalue = 0,chromosomes_is_float = False,): + +class chromosome_t(): + def __init__(self, n_chromosomes, maxvalue=None, minvalue=0, chromosomes_is_float=False, ): self.N_CHRO = n_chromosomes if maxvalue is None: self.MAXVALUE = n_chromosomes @@ -26,11 +29,10 @@ def __init__(self,n_chromosomes,maxvalue = None,minvalue = 0,chromosomes_is_floa self.MINVALUE = minvalue self.CHRO_IS_F = chromosomes_is_float -class GeneticAlgorithm: - - def __init__(self,fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP, selection_type = FILL_NEXT_GENERATION, - High_Low = False, size_pull = 1000, porcent_elitism = 10, porcent_mute = 2, testing=False): +class GeneticAlgorithm: + def __init__(self, fun_fitness, chromosomes, itmax=50, child_type=CHILD_FLIP, selection_type=FILL_NEXT_GENERATION, + High_Low=False, size_pool=1000, porcent_elitism=10, porcent_mute=2, testing=False): if selection_type not in [ROULETTE, FILL_NEXT_GENERATION]: a = GenecticException @@ -52,28 +54,29 @@ def __init__(self,fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP, self.__MUTE = porcent_mute self.__REVERSE = High_Low self.__SELECTION_TYPE = selection_type - self.__SIZE_PULL = size_pull + self.__SIZE_POOL = size_pool self.__N_CHROMOSOMES = chromosomes.N_CHRO self.__FUN_FITNESS = fun_fitness self.__ITMAX = itmax self.__TYPECHILD = child_type - self.__rangechild = (int)(self.__SIZE_PULL - self.__SIZE_PULL * self.__ELITISM) - self.__sizeelitism = (int)(self.__SIZE_PULL * self.__ELITISM) + self.__rangechild = (int)(self.__SIZE_POOL - self.__SIZE_POOL * self.__ELITISM) + self.__sizeelitism = (int)(self.__SIZE_POOL * self.__ELITISM) self.__CHRO_IS_F = chromosomes.CHRO_IS_F self.__CHRO_MAXVALUE = chromosomes.MAXVALUE self.__CHRO_MINVALUE = chromosomes.MINVALUE - self.__pull = self.__Generate_pull() + self.__POOL = self.__Generate_pool() self.__TEST_POOL = testing # Flag for testing purpose - - def __Generate_pull(self): + def __Generate_pool(self): if self.__CHRO_IS_F is False: ind = range(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) - new_pull = [[sample(ind,self.__N_CHROMOSOMES), 0, 0] for y in range(self.__SIZE_PULL)] - return new_pull + new_pool = [[sample(ind, self.__N_CHROMOSOMES), 0, 0] for y in range(self.__SIZE_POOL)] + return new_pool else: - new_pull = [[[uniform(self.__CHRO_MINVALUE,self.__CHRO_MAXVALUE) for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_PULL)] - return new_pull + new_pool = [ + [[uniform(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) for x in range(self.__N_CHROMOSOMES)], 0, 0] for y + in range(self.__SIZE_POOL)] + return new_pool def __getKey(self, item): return item[1] @@ -81,19 +84,19 @@ def __getKey(self, item): def __Get_Individuos(self, individual): if individual not in range(0, self.__SIZE_POOL): a = GenecticException - a.what = "Error: individual",individual," not existing, 0 < = individual < " + str(self.__SIZE_PULL) + a.what = "Error: individual", individual, " not existing, 0 < = individual < " + str(self.__SIZE_POOL) raise a - return copy.copy(self.__pull[individual][0]) + return copy.copy(self.__POOL[individual][0]) def __Set_Fittnes(self, individual, Fittnes): - if individual not in range(0, self.__SIZE_PULL): + if individual not in range(0, self.__SIZE_POOL): a = GenecticException - a.what = "Error: individual",individual," not existing, 0 < = individual < " + str(self.__SIZE_PULL) + a.what = "Error: individual", individual, " not existing, 0 < = individual < " + str(self.__SIZE_POOL) raise a - self.__pull[individual][1] = Fittnes + self.__POOL[individual][1] = Fittnes - def __sort_pull(self, rever = False): - self.__pull.sort(key = self.__getKey, reverse = rever) + def __sort_pool(self, rever=False): + self.__POOL.sort(key=self.__getKey, reverse=rever) def __Generate_Child_flip(self, item): child = copy.copy(item) @@ -123,16 +126,16 @@ def __Generate_Child_tournament_Det(self, item): listIndividual = [item, child, child2] return self.__Tournament_Selection_Deterministic(listIndividual) - - def __Generate_Child_split(self, item1,item2): + def __Generate_Child_split(self, item1, item2): child1 = copy.copy(item1) child2 = copy.copy(item2) split = randint(1, self.__N_CHROMOSOMES - 1) - child1[0:split] = copy.copy(child2[0:split]) #[item1[::split],item2[split::]] - child2[split:self.__N_CHROMOSOMES] = copy.copy(item1[split:self.__N_CHROMOSOMES]) #[item2[::split],item1[split::]] - return self.__Replace_repeated(child1,child2,split) + child1[0:split] = copy.copy(child2[0:split]) # [item1[::split],item2[split::]] + child2[split:self.__N_CHROMOSOMES] = copy.copy( + item1[split:self.__N_CHROMOSOMES]) # [item2[::split],item1[split::]] + return self.__Replace_repeated(child1, child2, split) - def __Replace_repeated(self,child1,child2,split): + def __Replace_repeated(self, child1, child2, split): for i in range(0, split): if child1[i] in child1[split:self.__N_CHROMOSOMES]: for j in range(0, split): @@ -141,28 +144,28 @@ def __Replace_repeated(self,child1,child2,split): child1[i] = child2[j] child2[j] = c1 break - return [child1,child2] + return [child1, child2] - def __Generate_Child(self, item1,item2 = None): + def __Generate_Child(self, item1, item2=None): if self.__TYPECHILD is CHILD_FLIP: return self.__Generate_Child_flip(item1) elif self.__TYPECHILD is CHILD_SPLIT: - return self.__Generate_Child_split(item1,item2) + return self.__Generate_Child_split(item1, item2) def __Fill_Next_Generation(self): - new_pull = copy.copy(self.__pull) + new_pull = copy.copy(self.__POOL) if self.__TYPECHILD is CHILD_FLIP: for i in (range(0, self.__rangechild)): - child = self.__Generate_Child(copy.copy(self.__pull[i][0])) + child = self.__Generate_Child(copy.copy(self.__POOL[i][0])) dest = i + self.__sizeelitism if randint(0, 99) < self.__MUTE: child = self.__mute_individuals(child) new_pull[dest][0] = copy.copy(child) elif self.__TYPECHILD is CHILD_SPLIT: - for i in (range(0, self.__rangechild,2)): - childs = self.__Generate_Child(copy.copy(self.__pull[i][0]),item2 = copy.copy(self.__pull[i+1][0])) + for i in (range(0, self.__rangechild, 2)): + childs = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2=copy.copy(self.__POOL[i + 1][0])) dest1 = i + self.__sizeelitism - dest2 = dest1+1 + dest2 = dest1 + 1 if randint(0, 99) < self.__MUTE: childs[0] = self.__mute_individuals(childs[0]) if randint(0, 99) < self.__MUTE: @@ -189,53 +192,44 @@ def __Tournament_Selection_Deterministic(self, listItems): def __Tournament_Selection_Probabilistic(self, listItems): return listItems[randint(0, len(listItems) - 1)] - """ - Asign a predefined pool and activate testing mode - """ - - def setPool(self, new_Pool): - self.__TEST_POOL = True - for i in range(0, self.__SIZE_POOL): - self.__POOL[i][0] = copy.copy(new_Pool[i]) - def __Roulette(self): - new_pull = copy.copy(self.__pull) - for i in (range(1, self.__SIZE_PULL)): - self.__pull[i][1] = self.__pull[i][1]+self.__pull[i-1][1] - for i in (range(0, self.__SIZE_PULL)): - self.__pull[i][2] = 1 - (self.__pull[i][1]/self.__pull[self.__SIZE_PULL-1][1]) + new_pool = copy.copy(self.__POOL) + for i in (range(1, self.__SIZE_POOL)): + self.__POOL[i][1] = self.__POOL[i][1] + self.__POOL[i - 1][1] + for i in (range(0, self.__SIZE_POOL)): + self.__POOL[i][2] = 1 - (self.__POOL[i][1] / self.__POOL[self.__SIZE_POOL - 1][1]) if self.__TYPECHILD is CHILD_FLIP: for i in (range(0, self.__rangechild)): selec = random() - for j in range(0,self.__SIZE_PULL)[::-1]: - if selec Date: Mon, 5 Dec 2016 13:19:20 +0100 Subject: [PATCH 04/47] Added repetition of chromosomes in the same individual and in help ways to generate children --- Genetic_Algorithm.py | 63 ++++++++++++++++++++++++++++---------------- main.py | 1 + 2 files changed, 42 insertions(+), 22 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 04e8df2..a0b5e0a 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -31,8 +31,9 @@ def __init__(self, n_chromosomes, maxvalue=None, minvalue=0, chromosomes_is_floa class GeneticAlgorithm: + def __init__(self, fun_fitness, chromosomes, itmax=50, child_type=CHILD_FLIP, selection_type=FILL_NEXT_GENERATION, - High_Low=False, size_pool=1000, porcent_elitism=10, porcent_mute=2, testing=False): + High_Low=False, size_pool=1000, porcent_elitism=10, porcent_mute=2, can_repeated_chro=False, testing=False): if selection_type not in [ROULETTE, FILL_NEXT_GENERATION]: a = GenecticException @@ -64,13 +65,17 @@ def __init__(self, fun_fitness, chromosomes, itmax=50, child_type=CHILD_FLIP, se self.__CHRO_IS_F = chromosomes.CHRO_IS_F self.__CHRO_MAXVALUE = chromosomes.MAXVALUE self.__CHRO_MINVALUE = chromosomes.MINVALUE + self.__CAN_REPETEAD_CHRO = can_repeated_chro self.__POOL = self.__Generate_pool() self.__TEST_POOL = testing # Flag for testing purpose def __Generate_pool(self): if self.__CHRO_IS_F is False: - ind = range(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) - new_pool = [[sample(ind, self.__N_CHROMOSOMES), 0, 0] for y in range(self.__SIZE_POOL)] + if self.__CAN_REPETEAD_CHRO is False: + ind = range(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) + new_pool = [[sample(ind, self.__N_CHROMOSOMES), 0, 0] for y in range(self.__SIZE_POOL)] + else: + new_pool = [[[randint(self.__CHRO_MINVALUE,self.__CHRO_MAXVALUE)for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] return new_pool else: new_pool = [ @@ -133,7 +138,10 @@ def __Generate_Child_split(self, item1, item2): child1[0:split] = copy.copy(child2[0:split]) # [item1[::split],item2[split::]] child2[split:self.__N_CHROMOSOMES] = copy.copy( item1[split:self.__N_CHROMOSOMES]) # [item2[::split],item1[split::]] - return self.__Replace_repeated(child1, child2, split) + if self.__CAN_REPETEAD_CHRO is False: + return self.__Replace_repeated(child1, child2, split) + else: + return [child1,child2] def __Replace_repeated(self, child1, child2, split): for i in range(0, split): @@ -164,14 +172,11 @@ def __Fill_Next_Generation(self): elif self.__TYPECHILD is CHILD_SPLIT: for i in (range(0, self.__rangechild, 2)): childs = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2=copy.copy(self.__POOL[i + 1][0])) - dest1 = i + self.__sizeelitism - dest2 = dest1 + 1 - if randint(0, 99) < self.__MUTE: - childs[0] = self.__mute_individuals(childs[0]) - if randint(0, 99) < self.__MUTE: - childs[1] = self.__mute_individuals(childs[1]) - new_pull[dest1][0] = copy.copy(childs[0]) - new_pull[dest2][0] = copy.copy(childs[1]) + dest = i + self.__sizeelitism + for j in [0,1]: + if randint(0, 99) < self.__MUTE: + childs[j] = self.__mute_individuals(childs[j]) + new_pull[dest+j][0] = copy.copy(childs[j]) return new_pull """ @@ -221,14 +226,11 @@ def __Roulette(self): if selec2 < self.__POOL[k][2]: break childs = self.__Generate_Child(copy.copy(self.__POOL[j][0]), copy.copy(self.__POOL[k][0])) - dest1 = i + self.__sizeelitism - dest2 = dest1 + 1 - if randint(0, 99) < self.__MUTE: - childs[0] = self.__mute_individuals(childs[0]) - if randint(0, 99) < self.__MUTE: - childs[1] = self.__mute_individuals(childs[1]) - new_pool[dest1][0] = copy.copy(childs[0]) - new_pool[dest2][0] = copy.copy(childs[1]) + dest = i + self.__sizeelitism + for j in [0,1]: + if randint(0, 99) < self.__MUTE: + childs[j] = self.__mute_individuals(childs[j]) + new_pool[dest+j][0] = copy.copy(childs[j]) return new_pool def __Next_Generation(self): @@ -245,8 +247,10 @@ def __mute_individuals(self, item): b[index[0]:index[1]] = copy.copy(sample(a, index[1] - index[0])) return b + """ def __mute_individuals_simple(self, item): return sample(item, self.__N_CHROMOSOMES) + """ """ Asign a predefined pool and activate testing mode @@ -297,7 +301,22 @@ def help(self): The structure of a individual is: [value,value,value,...,value] It has as many values as chromosomes. - - + Ways to Generate Children: + + CHILD_FLIP + father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] + [6, 8, 2, 1, 5] + child [1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] + [5, 1, 2, 8, 6] + CHILD_SPLIT + father1[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] + [ father1_1 ][ father1_2 ] + father1[5, 4, 8, 6, 3, 2, 8, 6, 5, 7, 9, 3, 7] + [ father2_1 ][ father2_2 ] + child1 [1, 6, 7, 2, 6, 8, 8, 6, 5, 7, 9, 3, 7] + [ father1_1 ][ father2_2 ] + child2 [5, 4, 8, 6, 3, 2, 2, 1, 5, 6, 3, 8, 7] + [ father2_1 ][ father1_2 ] """ + print s diff --git a/main.py b/main.py index 83ba0a9..fd0d178 100644 --- a/main.py +++ b/main.py @@ -126,6 +126,7 @@ def fitnnes(item): try: GA=GeneticAlgorithm(f, chro, itmax=ITMAX, selection_type=SELECTION_TYPE, High_Low=HIGH_LOW, size_pool=SIZE_PULL, child_type=TYPECHILD, porcent_elitism=ELITISM, porcent_mute=MUTE) + GA.help() GA.run() except GenecticException: print GenecticException.what From 84f3dd9be82b22adf909fba9a22be5081ec95454 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 5 Dec 2016 13:47:41 +0100 Subject: [PATCH 05/47] Added CHILD_FLIP2 --- Genetic_Algorithm.py | 15 +++++++++++++-- main.py | 3 +-- 2 files changed, 14 insertions(+), 4 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index a0b5e0a..571cccd 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -9,6 +9,7 @@ CHILD_FLIP = 10 CHILD_SPLIT = 11 +CHILD_FLIP2 = 12 class B(Exception): @@ -157,19 +158,21 @@ def __Replace_repeated(self, child1, child2, split): def __Generate_Child(self, item1, item2=None): if self.__TYPECHILD is CHILD_FLIP: return self.__Generate_Child_flip(item1) + elif self.__TYPECHILD is CHILD_FLIP2: + return self.__Generate_Child_tournament_Det(item1) elif self.__TYPECHILD is CHILD_SPLIT: return self.__Generate_Child_split(item1, item2) def __Fill_Next_Generation(self): new_pull = copy.copy(self.__POOL) - if self.__TYPECHILD is CHILD_FLIP: + if self.__TYPECHILD in [CHILD_FLIP,CHILD_FLIP2]: for i in (range(0, self.__rangechild)): child = self.__Generate_Child(copy.copy(self.__POOL[i][0])) dest = i + self.__sizeelitism if randint(0, 99) < self.__MUTE: child = self.__mute_individuals(child) new_pull[dest][0] = copy.copy(child) - elif self.__TYPECHILD is CHILD_SPLIT: + elif self.__TYPECHILD in [CHILD_SPLIT]: for i in (range(0, self.__rangechild, 2)): childs = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2=copy.copy(self.__POOL[i + 1][0])) dest = i + self.__sizeelitism @@ -318,5 +321,13 @@ def help(self): child2 [5, 4, 8, 6, 3, 2, 2, 1, 5, 6, 3, 8, 7] [ father2_1 ][ father1_2 ] + CHILD_FLIP2 + father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] + [ father_1 ][ father_2 ][ father_3 ] + child1[1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] + [ father_1 ][ r_father_2 ][ father_3 ] + child2[2, 7, 6, 1, 6, 8, 2, 1, 5, 7, 8, 3, 6] + [r_father_1][ father_2 ][r_father_3] + return the best [father, child1, child2] """ print s diff --git a/main.py b/main.py index fd0d178..0edd1ce 100644 --- a/main.py +++ b/main.py @@ -9,7 +9,7 @@ N_CHROMOSOMES = 20 HIGH_LOW=False ITMAX = 100 -TYPECHILD=CHILD_SPLIT +TYPECHILD=CHILD_FLIP2 distance=[ [ 9.22337203685e+18 , 77.0 , 30.0 , 52.0 , 30.0 , 28.0 , 28.0 , 91.0 , 35.0 , 26.0 , 61.0 , 56.0 , 27.0 , 44.0 , 35.0 , 71.0 , 55.0 , 58.0 , 30.0 , 74.0 , 65.0 , 98.0 , 94.0 , 50.0 , 81.0 , 50.0 , 56.0 , 65.0 , 20.0 , 74.0 , 40.0 , 77.0 , 47.0 , 84.0 , 26.0 , 37.0 , 62.0 , 91.0 , 63.0 , 43.0 , 82.0 , 46.0 , 32.0 , 34.0 , 49.0 , 47.0 , 54.0 , 32.0 , 81.0 , 85.0 , 36.0 , 59.0 , 71.0 , 33.0 , 38.0 , 74.0 , 72.0 , 93.0 , 58.0 , 81.0 , 63.0 , 23.0 , 80.0 , 24.0 , 69.0 , 35.0 , 40.0 , 81.0 , 77.0 , 83.0 , 81.0 , 38.0 , 58.0 , 71.0 , 51.0 , 60.0 , 99.0 , 33.0 , 99.0 , 54.0 , 77.0 , 98.0 , 32.0 , 48.0 , 37.0 , 79.0 , 54.0 , 99.0 , 65.0 , 94.0 , 50.0 , 32.0 , 23.0 , 21.0 , 23.0 , 51.0 , 26.0 , 84.0 , 60.0 , 22.0 ], [ 77.0 , 9.22337203685e+18 , 41.0 , 39.0 , 82.0 , 64.0 , 72.0 , 99.0 , 89.0 , 28.0 , 40.0 , 64.0 , 72.0 , 86.0 , 86.0 , 82.0 , 94.0 , 33.0 , 64.0 , 42.0 , 49.0 , 23.0 , 34.0 , 57.0 , 68.0 , 30.0 , 33.0 , 63.0 , 43.0 , 51.0 , 22.0 , 96.0 , 34.0 , 55.0 , 82.0 , 74.0 , 47.0 , 72.0 , 77.0 , 90.0 , 33.0 , 28.0 , 41.0 , 20.0 , 56.0 , 32.0 , 79.0 , 95.0 , 93.0 , 75.0 , 54.0 , 89.0 , 33.0 , 62.0 , 29.0 , 41.0 , 78.0 , 73.0 , 38.0 , 64.0 , 91.0 , 76.0 , 82.0 , 59.0 , 95.0 , 29.0 , 62.0 , 50.0 , 25.0 , 86.0 , 46.0 , 47.0 , 88.0 , 44.0 , 29.0 , 46.0 , 98.0 , 70.0 , 57.0 , 48.0 , 83.0 , 32.0 , 49.0 , 27.0 , 67.0 , 53.0 , 65.0 , 69.0 , 92.0 , 53.0 , 97.0 , 38.0 , 82.0 , 96.0 , 68.0 , 90.0 , 57.0 , 93.0 , 32.0 , 69.0 ], [ 30.0 , 41.0 , 9.22337203685e+18 , 22.0 , 37.0 , 32.0 , 39.0 , 22.0 , 83.0 , 41.0 , 92.0 , 77.0 , 88.0 , 46.0 , 55.0 , 28.0 , 23.0 , 56.0 , 21.0 , 60.0 , 97.0 , 86.0 , 74.0 , 84.0 , 36.0 , 32.0 , 45.0 , 53.0 , 51.0 , 87.0 , 85.0 , 29.0 , 76.0 , 93.0 , 30.0 , 81.0 , 30.0 , 33.0 , 41.0 , 75.0 , 46.0 , 53.0 , 67.0 , 37.0 , 100.0 , 68.0 , 51.0 , 57.0 , 75.0 , 77.0 , 78.0 , 51.0 , 95.0 , 40.0 , 35.0 , 49.0 , 52.0 , 55.0 , 65.0 , 48.0 , 95.0 , 74.0 , 79.0 , 46.0 , 55.0 , 36.0 , 88.0 , 37.0 , 96.0 , 54.0 , 52.0 , 31.0 , 91.0 , 87.0 , 67.0 , 59.0 , 40.0 , 93.0 , 37.0 , 83.0 , 75.0 , 27.0 , 54.0 , 85.0 , 26.0 , 47.0 , 22.0 , 65.0 , 32.0 , 96.0 , 79.0 , 75.0 , 63.0 , 33.0 , 53.0 , 57.0 , 99.0 , 56.0 , 26.0 , 81.0 ], @@ -126,7 +126,6 @@ def fitnnes(item): try: GA=GeneticAlgorithm(f, chro, itmax=ITMAX, selection_type=SELECTION_TYPE, High_Low=HIGH_LOW, size_pool=SIZE_PULL, child_type=TYPECHILD, porcent_elitism=ELITISM, porcent_mute=MUTE) - GA.help() GA.run() except GenecticException: print GenecticException.what From 44a4d4ae1863b416736d25d4e8894b70136da4ec Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 5 Dec 2016 13:53:55 +0100 Subject: [PATCH 06/47] Added CHILD_FLIP2 to Roulette --- Genetic_Algorithm.py | 4 ++-- main.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 571cccd..1a1faff 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -207,7 +207,7 @@ def __Roulette(self): for i in (range(0, self.__SIZE_POOL)): self.__POOL[i][2] = 1 - (self.__POOL[i][1] / self.__POOL[self.__SIZE_POOL - 1][1]) - if self.__TYPECHILD is CHILD_FLIP: + if self.__TYPECHILD in [CHILD_FLIP,CHILD_FLIP2]: for i in (range(0, self.__rangechild)): selec = random() for j in range(0, self.__SIZE_POOL)[::-1]: @@ -218,7 +218,7 @@ def __Roulette(self): if randint(0, 99) < self.__MUTE: child = self.__mute_individuals(child) new_pool[dest][0] = copy.copy(child) - elif self.__TYPECHILD is CHILD_SPLIT: + elif self.__TYPECHILD in [CHILD_SPLIT]: for i in (range(0, self.__rangechild, 2)): selec1 = random() selec2 = random() diff --git a/main.py b/main.py index 0edd1ce..d7b234b 100644 --- a/main.py +++ b/main.py @@ -4,7 +4,7 @@ ELITISM = 10 MUTE = 2 REVERSE = True -SELECTION_TYPE = FILL_NEXT_GENERATION +SELECTION_TYPE = ROULETTE SIZE_PULL = 1000 N_CHROMOSOMES = 20 HIGH_LOW=False From 2e6da6a1ffa4cfd2bc27ebcbb0e5453f49a12cc6 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 5 Dec 2016 14:03:33 +0100 Subject: [PATCH 07/47] Remplace "=" by " = " --- Genetic_Algorithm.py | 24 +++++++++++++----------- 1 file changed, 13 insertions(+), 11 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 1a1faff..c8fda62 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -12,6 +12,8 @@ CHILD_FLIP2 = 12 + + class B(Exception): pass @@ -21,7 +23,7 @@ class GenecticException(B): class chromosome_t(): - def __init__(self, n_chromosomes, maxvalue=None, minvalue=0, chromosomes_is_float=False, ): + def __init__(self, n_chromosomes, maxvalue = None, minvalue = 0, chromosomes_is_float = False, ): self.N_CHRO = n_chromosomes if maxvalue is None: self.MAXVALUE = n_chromosomes @@ -33,8 +35,8 @@ def __init__(self, n_chromosomes, maxvalue=None, minvalue=0, chromosomes_is_floa class GeneticAlgorithm: - def __init__(self, fun_fitness, chromosomes, itmax=50, child_type=CHILD_FLIP, selection_type=FILL_NEXT_GENERATION, - High_Low=False, size_pool=1000, porcent_elitism=10, porcent_mute=2, can_repeated_chro=False, testing=False): + def __init__(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP, selection_type = FILL_NEXT_GENERATION, + High_Low = False, size_pool = 1000, porcent_elitism = 10, porcent_mute = 2, can_repeated_chro = False, testing = False): if selection_type not in [ROULETTE, FILL_NEXT_GENERATION]: a = GenecticException @@ -101,8 +103,8 @@ def __Set_Fittnes(self, individual, Fittnes): raise a self.__POOL[individual][1] = Fittnes - def __sort_pool(self, rever=False): - self.__POOL.sort(key=self.__getKey, reverse=rever) + def __sort_pool(self, rever = False): + self.__POOL.sort(key = self.__getKey, reverse = rever) def __Generate_Child_flip(self, item): child = copy.copy(item) @@ -155,7 +157,7 @@ def __Replace_repeated(self, child1, child2, split): break return [child1, child2] - def __Generate_Child(self, item1, item2=None): + def __Generate_Child(self, item1, item2 = None): if self.__TYPECHILD is CHILD_FLIP: return self.__Generate_Child_flip(item1) elif self.__TYPECHILD is CHILD_FLIP2: @@ -174,7 +176,7 @@ def __Fill_Next_Generation(self): new_pull[dest][0] = copy.copy(child) elif self.__TYPECHILD in [CHILD_SPLIT]: for i in (range(0, self.__rangechild, 2)): - childs = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2=copy.copy(self.__POOL[i + 1][0])) + childs = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2 = copy.copy(self.__POOL[i + 1][0])) dest = i + self.__sizeelitism for j in [0,1]: if randint(0, 99) < self.__MUTE: @@ -191,7 +193,7 @@ def __Tournament_Selection_Deterministic(self, listItems): dict = {} for i in range(0, len(listItems)): dict[i] = self.__FUN_FITNESS(listItems[i]) - return listItems[sorted(dict, reverse=True)[0]] + return listItems[sorted(dict, reverse = True)[0]] """ Function that select the best item from a list of items for tournament selection. @@ -277,7 +279,7 @@ def print_individuals(self): def Winner_Probability(self): return self.__POOL[0][:] - def run(self, print_best=0): + def run(self, print_best = 0): for x in range(self.__ITMAX): for i in range(self.__SIZE_POOL): item = self.__Get_Individuos(i) @@ -308,9 +310,9 @@ def help(self): CHILD_FLIP father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] - [6, 8, 2, 1, 5] + [ father ] child [1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] - [5, 1, 2, 8, 6] + [ r_father ] CHILD_SPLIT father1[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] [ father1_1 ][ father1_2 ] From b24a6e2fed454052ff81add7ff31986b9f5b1317 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 5 Dec 2016 16:22:52 +0100 Subject: [PATCH 08/47] Added CHILD_MEAN ROULETTE --- Genetic_Algorithm.py | 43 ++++++++++++++++++++++++++++++++++++++----- main.py | 20 ++++++++++---------- 2 files changed, 48 insertions(+), 15 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index c8fda62..a202f69 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -3,6 +3,7 @@ from random import * import copy from time import * +import math ROULETTE = 1 FILL_NEXT_GENERATION = 2 @@ -10,7 +11,7 @@ CHILD_FLIP = 10 CHILD_SPLIT = 11 CHILD_FLIP2 = 12 - +CHILD_MEAN = 13 @@ -146,6 +147,26 @@ def __Generate_Child_split(self, item1, item2): else: return [child1,child2] + def __Generate_Child_Mean(self, item1, item2): + child = copy.copy(item1) + if self.__CHRO_IS_F is True: + for i in range(self.__N_CHROMOSOMES): + child[i] = (item1[i]+item2[1])/2 + else: + for i in range(self.__N_CHROMOSOMES): + f = (item1[i] + item2[i])/2 + child[i] = int(math.floor(f)) + if self.__CAN_REPETEAD_CHRO is False: + n=self.__CHRO_MINVALUE + for i in range(self.__N_CHROMOSOMES): + if child[i] in child [i+1:]: + while(True): + if n not in child: + child[i]=n + break + n+=1 + return child + def __Replace_repeated(self, child1, child2, split): for i in range(0, split): if child1[i] in child1[split:self.__N_CHROMOSOMES]: @@ -164,12 +185,14 @@ def __Generate_Child(self, item1, item2 = None): return self.__Generate_Child_tournament_Det(item1) elif self.__TYPECHILD is CHILD_SPLIT: return self.__Generate_Child_split(item1, item2) + elif self.__TYPECHILD is CHILD_MEAN: + return self.__Generate_Child_Mean(item1, item2) def __Fill_Next_Generation(self): new_pull = copy.copy(self.__POOL) - if self.__TYPECHILD in [CHILD_FLIP,CHILD_FLIP2]: + if self.__TYPECHILD in [CHILD_FLIP, CHILD_FLIP2, CHILD_MEAN]: for i in (range(0, self.__rangechild)): - child = self.__Generate_Child(copy.copy(self.__POOL[i][0])) + child = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2 = self.__POOL[i+1][0]) dest = i + self.__sizeelitism if randint(0, 99) < self.__MUTE: child = self.__mute_individuals(child) @@ -209,13 +232,13 @@ def __Roulette(self): for i in (range(0, self.__SIZE_POOL)): self.__POOL[i][2] = 1 - (self.__POOL[i][1] / self.__POOL[self.__SIZE_POOL - 1][1]) - if self.__TYPECHILD in [CHILD_FLIP,CHILD_FLIP2]: + if self.__TYPECHILD in [CHILD_FLIP, CHILD_FLIP2, CHILD_MEAN]: for i in (range(0, self.__rangechild)): selec = random() for j in range(0, self.__SIZE_POOL)[::-1]: if selec < self.__POOL[j][2]: break - child = self.__Generate_Child(copy.copy(self.__POOL[j][0])) + child = self.__Generate_Child(copy.copy(self.__POOL[j][0]),copy.copy(self.__POOL[j+1][0])) dest = i + self.__sizeelitism if randint(0, 99) < self.__MUTE: child = self.__mute_individuals(child) @@ -331,5 +354,15 @@ def help(self): child2[2, 7, 6, 1, 6, 8, 2, 1, 5, 7, 8, 3, 6] [r_father_1][ father_2 ][r_father_3] return the best [father, child1, child2] + + CHILD_MEAN and chromosomes_is_float = True + father1 [1, 5, 7, 6] + father2 [3, 8, 1, 3] + child [2, 6.5, 4, 4.5] child[i] = (father1[i]+father2[i])/2 + + CHILD_MEAN and chromosomes_is_float = False + father1 [1, 5, 7, 6] + father2 [3, 8, 1, 3] + child [2, 6, 4, 4] child[i] = floor((father1[i]+father2[i])/2) """ print s diff --git a/main.py b/main.py index d7b234b..f01404a 100644 --- a/main.py +++ b/main.py @@ -1,16 +1,16 @@ from Genetic_Algorithm import * -ELITISM = 10 +ELITISM = 1 MUTE = 2 REVERSE = True -SELECTION_TYPE = ROULETTE +SELECTION_TYPE = FILL_NEXT_GENERATION SIZE_PULL = 1000 N_CHROMOSOMES = 20 -HIGH_LOW=False +HIGH_LOW = False ITMAX = 100 -TYPECHILD=CHILD_FLIP2 -distance=[ [ 9.22337203685e+18 , 77.0 , 30.0 , 52.0 , 30.0 , 28.0 , 28.0 , 91.0 , 35.0 , 26.0 , 61.0 , 56.0 , 27.0 , 44.0 , 35.0 , 71.0 , 55.0 , 58.0 , 30.0 , 74.0 , 65.0 , 98.0 , 94.0 , 50.0 , 81.0 , 50.0 , 56.0 , 65.0 , 20.0 , 74.0 , 40.0 , 77.0 , 47.0 , 84.0 , 26.0 , 37.0 , 62.0 , 91.0 , 63.0 , 43.0 , 82.0 , 46.0 , 32.0 , 34.0 , 49.0 , 47.0 , 54.0 , 32.0 , 81.0 , 85.0 , 36.0 , 59.0 , 71.0 , 33.0 , 38.0 , 74.0 , 72.0 , 93.0 , 58.0 , 81.0 , 63.0 , 23.0 , 80.0 , 24.0 , 69.0 , 35.0 , 40.0 , 81.0 , 77.0 , 83.0 , 81.0 , 38.0 , 58.0 , 71.0 , 51.0 , 60.0 , 99.0 , 33.0 , 99.0 , 54.0 , 77.0 , 98.0 , 32.0 , 48.0 , 37.0 , 79.0 , 54.0 , 99.0 , 65.0 , 94.0 , 50.0 , 32.0 , 23.0 , 21.0 , 23.0 , 51.0 , 26.0 , 84.0 , 60.0 , 22.0 ], +TYPECHILD = CHILD_MEAN +distance = [ [ 9.22337203685e+18 , 77.0 , 30.0 , 52.0 , 30.0 , 28.0 , 28.0 , 91.0 , 35.0 , 26.0 , 61.0 , 56.0 , 27.0 , 44.0 , 35.0 , 71.0 , 55.0 , 58.0 , 30.0 , 74.0 , 65.0 , 98.0 , 94.0 , 50.0 , 81.0 , 50.0 , 56.0 , 65.0 , 20.0 , 74.0 , 40.0 , 77.0 , 47.0 , 84.0 , 26.0 , 37.0 , 62.0 , 91.0 , 63.0 , 43.0 , 82.0 , 46.0 , 32.0 , 34.0 , 49.0 , 47.0 , 54.0 , 32.0 , 81.0 , 85.0 , 36.0 , 59.0 , 71.0 , 33.0 , 38.0 , 74.0 , 72.0 , 93.0 , 58.0 , 81.0 , 63.0 , 23.0 , 80.0 , 24.0 , 69.0 , 35.0 , 40.0 , 81.0 , 77.0 , 83.0 , 81.0 , 38.0 , 58.0 , 71.0 , 51.0 , 60.0 , 99.0 , 33.0 , 99.0 , 54.0 , 77.0 , 98.0 , 32.0 , 48.0 , 37.0 , 79.0 , 54.0 , 99.0 , 65.0 , 94.0 , 50.0 , 32.0 , 23.0 , 21.0 , 23.0 , 51.0 , 26.0 , 84.0 , 60.0 , 22.0 ], [ 77.0 , 9.22337203685e+18 , 41.0 , 39.0 , 82.0 , 64.0 , 72.0 , 99.0 , 89.0 , 28.0 , 40.0 , 64.0 , 72.0 , 86.0 , 86.0 , 82.0 , 94.0 , 33.0 , 64.0 , 42.0 , 49.0 , 23.0 , 34.0 , 57.0 , 68.0 , 30.0 , 33.0 , 63.0 , 43.0 , 51.0 , 22.0 , 96.0 , 34.0 , 55.0 , 82.0 , 74.0 , 47.0 , 72.0 , 77.0 , 90.0 , 33.0 , 28.0 , 41.0 , 20.0 , 56.0 , 32.0 , 79.0 , 95.0 , 93.0 , 75.0 , 54.0 , 89.0 , 33.0 , 62.0 , 29.0 , 41.0 , 78.0 , 73.0 , 38.0 , 64.0 , 91.0 , 76.0 , 82.0 , 59.0 , 95.0 , 29.0 , 62.0 , 50.0 , 25.0 , 86.0 , 46.0 , 47.0 , 88.0 , 44.0 , 29.0 , 46.0 , 98.0 , 70.0 , 57.0 , 48.0 , 83.0 , 32.0 , 49.0 , 27.0 , 67.0 , 53.0 , 65.0 , 69.0 , 92.0 , 53.0 , 97.0 , 38.0 , 82.0 , 96.0 , 68.0 , 90.0 , 57.0 , 93.0 , 32.0 , 69.0 ], [ 30.0 , 41.0 , 9.22337203685e+18 , 22.0 , 37.0 , 32.0 , 39.0 , 22.0 , 83.0 , 41.0 , 92.0 , 77.0 , 88.0 , 46.0 , 55.0 , 28.0 , 23.0 , 56.0 , 21.0 , 60.0 , 97.0 , 86.0 , 74.0 , 84.0 , 36.0 , 32.0 , 45.0 , 53.0 , 51.0 , 87.0 , 85.0 , 29.0 , 76.0 , 93.0 , 30.0 , 81.0 , 30.0 , 33.0 , 41.0 , 75.0 , 46.0 , 53.0 , 67.0 , 37.0 , 100.0 , 68.0 , 51.0 , 57.0 , 75.0 , 77.0 , 78.0 , 51.0 , 95.0 , 40.0 , 35.0 , 49.0 , 52.0 , 55.0 , 65.0 , 48.0 , 95.0 , 74.0 , 79.0 , 46.0 , 55.0 , 36.0 , 88.0 , 37.0 , 96.0 , 54.0 , 52.0 , 31.0 , 91.0 , 87.0 , 67.0 , 59.0 , 40.0 , 93.0 , 37.0 , 83.0 , 75.0 , 27.0 , 54.0 , 85.0 , 26.0 , 47.0 , 22.0 , 65.0 , 32.0 , 96.0 , 79.0 , 75.0 , 63.0 , 33.0 , 53.0 , 57.0 , 99.0 , 56.0 , 26.0 , 81.0 ], [ 52.0 , 39.0 , 22.0 , 9.22337203685e+18 , 49.0 , 55.0 , 90.0 , 94.0 , 24.0 , 22.0 , 74.0 , 26.0 , 72.0 , 26.0 , 36.0 , 93.0 , 61.0 , 98.0 , 69.0 , 49.0 , 87.0 , 49.0 , 59.0 , 65.0 , 69.0 , 47.0 , 53.0 , 73.0 , 63.0 , 95.0 , 61.0 , 64.0 , 23.0 , 59.0 , 80.0 , 78.0 , 28.0 , 100.0 , 78.0 , 71.0 , 57.0 , 64.0 , 93.0 , 99.0 , 38.0 , 60.0 , 22.0 , 49.0 , 25.0 , 30.0 , 29.0 , 31.0 , 92.0 , 77.0 , 20.0 , 99.0 , 76.0 , 85.0 , 84.0 , 65.0 , 54.0 , 68.0 , 62.0 , 84.0 , 89.0 , 97.0 , 29.0 , 62.0 , 33.0 , 41.0 , 57.0 , 31.0 , 86.0 , 67.0 , 57.0 , 92.0 , 31.0 , 95.0 , 98.0 , 98.0 , 71.0 , 59.0 , 88.0 , 34.0 , 80.0 , 49.0 , 100.0 , 42.0 , 20.0 , 90.0 , 64.0 , 98.0 , 45.0 , 52.0 , 47.0 , 67.0 , 28.0 , 44.0 , 96.0 , 79.0 ], @@ -120,12 +120,12 @@ def fitnnes(item): dist = dist + distance[cityant][item[0]] return dist -if __name__ == "__main__": - f=fitnnes - chro=chromosome_t(N_CHROMOSOMES) +if __name__ == "__main__": + f = fitnnes + chro = chromosome_t(N_CHROMOSOMES) try: - GA=GeneticAlgorithm(f, chro, itmax=ITMAX, selection_type=SELECTION_TYPE, - High_Low=HIGH_LOW, size_pool=SIZE_PULL, child_type=TYPECHILD, porcent_elitism=ELITISM, porcent_mute=MUTE) + GA = GeneticAlgorithm(f, chro, itmax = ITMAX, selection_type = SELECTION_TYPE, + High_Low = HIGH_LOW, size_pool = SIZE_PULL, child_type = TYPECHILD, porcent_elitism = ELITISM, porcent_mute = MUTE) GA.run() except GenecticException: print GenecticException.what From ffdbee758cef96afaa3e2adf7f96b9d7e2745637 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 5 Dec 2016 17:33:43 +0100 Subject: [PATCH 09/47] Added Documentation of method and help(GeneticAlgorithm) --- Genetic_Algorithm.py | 238 +++++++++++++++++++++++++++++++++++++++++++ main.py | 2 +- 2 files changed, 239 insertions(+), 1 deletion(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index a202f69..fbff1f2 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -35,6 +35,109 @@ def __init__(self, n_chromosomes, maxvalue = None, minvalue = 0, chromosomes_is_ class GeneticAlgorithm: + """GeneticAlgorithm + The structure of a tuple of the PULL is: + [individual, FITNNES, PROBABILITY FOR THE ROULETTE] + + The structure of a individual is: + [value,value,value,...,value] It has as many values as chromosomes. + + Ways to Generate Children: + + CHILD_FLIP + father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] + [ father ] + child [1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] + [ r_father ] + CHILD_SPLIT + father1[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] + [ father1_1 ][ father1_2 ] + father1[5, 4, 8, 6, 3, 2, 8, 6, 5, 7, 9, 3, 7] + [ father2_1 ][ father2_2 ] + child1 [1, 6, 7, 2, 6, 8, 8, 6, 5, 7, 9, 3, 7] + [ father1_1 ][ father2_2 ] + child2 [5, 4, 8, 6, 3, 2, 2, 1, 5, 6, 3, 8, 7] + [ father2_1 ][ father1_2 ] + + CHILD_FLIP2 + father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] + [ father_1 ][ father_2 ][ father_3 ] + child1[1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] + [ father_1 ][ r_father_2 ][ father_3 ] + child2[2, 7, 6, 1, 6, 8, 2, 1, 5, 7, 8, 3, 6] + [r_father_1][ father_2 ][r_father_3] + return the best [father, child1, child2] + + CHILD_MEAN and chromosomes_is_float = True + father1 [1, 5, 7, 6] + father2 [3, 8, 1, 3] + child [2, 6.5, 4, 4.5] child[i] = (father1[i]+father2[i])/2 + + CHILD_MEAN and chromosomes_is_float = False + father1 [1, 5, 7, 6] + father2 [3, 8, 1, 3] + child [2, 6, 4, 4] child[i] = floor((father1[i]+father2[i])/2) + + Example: + This is the typical travelling salesman problem (TSP) in this case there are 20 cities. + +from Genetic_Algorithm import * + + +ELITISM = 10 +MUTE = 2 +REVERSE = True +SELECTION_TYPE = FILL_NEXT_GENERATION +SIZE_PULL = 1000 +N_CHROMOSOMES = 20 +HIGH_LOW = False +ITMAX = 100 +TYPECHILD = CHILD_FLIP +distance = [[9.22337203685e+18, 77.0, 30.0, 52.0, 30.0, 28.0, 28.0, 91.0, 35.0, 26.0, 61.0, 56.0, 27.0, 44.0, 35.0, 71.0, 55.0, 58.0, 30.0, 74.0] , + [77.0, 9.22337203685e+18, 41.0, 39.0, 82.0, 64.0, 72.0, 99.0, 89.0, 28.0, 40.0, 64.0, 72.0, 86.0, 86.0, 82.0, 94.0, 33.0, 64.0, 42.0] , + [30.0, 41.0, 9.22337203685e+18, 22.0, 37.0, 32.0, 39.0, 22.0, 83.0, 41.0, 92.0, 77.0, 88.0, 46.0, 55.0, 28.0, 23.0, 56.0, 21.0, 60.0] , + [52.0, 39.0, 22.0, 9.22337203685e+18, 49.0, 55.0, 90.0, 94.0, 24.0, 22.0, 74.0, 26.0, 72.0, 26.0, 36.0, 93.0, 61.0, 98.0, 69.0, 49.0] , + [30.0, 82.0, 37.0, 49.0, 9.22337203685e+18, 30.0, 61.0, 55.0, 65.0, 26.0, 23.0, 73.0, 77.0, 99.0, 35.0, 82.0, 41.0, 90.0, 93.0, 60.0] , + [28.0, 64.0, 32.0, 55.0, 30.0, 9.22337203685e+18, 42.0, 83.0, 39.0, 36.0, 24.0, 95.0, 55.0, 98.0, 20.0, 58.0, 92.0, 95.0, 91.0, 30.0] , + [28.0, 72.0, 39.0, 90.0, 61.0, 42.0, 9.22337203685e+18, 61.0, 54.0, 28.0, 91.0, 77.0, 55.0, 62.0, 96.0, 31.0, 23.0, 91.0, 49.0, 100.0] , + [91.0, 99.0, 22.0, 94.0, 55.0, 83.0, 61.0, 9.22337203685e+18, 43.0, 100.0, 46.0, 65.0, 90.0, 60.0, 63.0, 80.0, 69.0, 39.0, 60.0, 62.0] , + [35.0, 89.0, 83.0, 24.0, 65.0, 39.0, 54.0, 43.0, 9.22337203685e+18, 31.0, 97.0, 56.0, 93.0, 94.0, 39.0, 33.0, 32.0, 46.0, 94.0, 92.0] , + [26.0, 28.0, 41.0, 22.0, 26.0, 36.0, 28.0, 100.0, 31.0, 9.22337203685e+18, 70.0, 81.0, 22.0, 43.0, 21.0, 72.0, 99.0, 70.0, 38.0, 98.0] , + [61.0, 40.0, 92.0, 74.0, 23.0, 24.0, 91.0, 46.0, 97.0, 70.0, 9.22337203685e+18, 73.0, 69.0, 59.0, 71.0, 64.0, 78.0, 66.0, 42.0, 80.0] , + [56.0, 64.0, 77.0, 26.0, 73.0, 95.0, 77.0, 65.0, 56.0, 81.0, 73.0, 9.22337203685e+18, 73.0, 28.0, 36.0, 91.0, 64.0, 68.0, 30.0, 26.0] , + [27.0, 72.0, 88.0, 72.0, 77.0, 55.0, 55.0, 90.0, 93.0, 22.0, 69.0, 73.0, 9.22337203685e+18, 79.0, 73.0, 43.0, 87.0, 65.0, 30.0, 27.0] , + [44.0, 86.0, 46.0, 26.0, 99.0, 98.0, 62.0, 60.0, 94.0, 43.0, 59.0, 28.0, 79.0, 9.22337203685e+18, 88.0, 40.0, 39.0, 68.0, 31.0, 70.0] , + [35.0, 86.0, 55.0, 36.0, 35.0, 20.0, 96.0, 63.0, 39.0, 21.0, 71.0, 36.0, 73.0, 88.0, 9.22337203685e+18, 54.0, 58.0, 50.0, 29.0, 63.0] , + [71.0, 82.0, 28.0, 93.0, 82.0, 58.0, 31.0, 80.0, 33.0, 72.0, 64.0, 91.0, 43.0, 40.0, 54.0, 9.22337203685e+18, 39.0, 84.0, 49.0, 25.0] , + [55.0, 94.0, 23.0, 61.0, 41.0, 92.0, 23.0, 69.0, 32.0, 99.0, 78.0, 64.0, 87.0, 39.0, 58.0, 39.0, 9.22337203685e+18, 68.0, 63.0, 60.0] , + [58.0, 33.0, 56.0, 98.0, 90.0, 95.0, 91.0, 39.0, 46.0, 70.0, 66.0, 68.0, 65.0, 68.0, 50.0, 84.0, 68.0, 9.22337203685e+18, 79.0, 87.0] , + [30.0, 64.0, 21.0, 69.0, 93.0, 91.0, 49.0, 60.0, 94.0, 38.0, 42.0, 30.0, 30.0, 31.0, 29.0, 49.0, 63.0, 79.0, 9.22337203685e+18, 26.0] , + [74.0, 42.0, 60.0, 49.0, 60.0, 30.0, 100.0, 62.0, 92.0, 98.0, 80.0, 26.0, 27.0, 70.0, 63.0, 25.0, 60.0, 87.0, 26.0, 9.22337203685e+18]] +def fitnnes(item): + dist = 0 + cityant = item[0] + for cityact in item[1:N_CHROMOSOMES]: + dist = dist + distance[cityant][cityact] + cityant = cityact + dist = dist + distance[cityant][item[0]] + return dist + +if __name__ == "__main__": + print "[" + for x in distance: + print x[:20], "," + print "]" + f = fitnnes + chro = chromosome_t(N_CHROMOSOMES) + try: + GA = GeneticAlgorithm(f, chro, itmax = ITMAX, selection_type = SELECTION_TYPE, + High_Low = HIGH_LOW, size_pool = SIZE_PULL, child_type = TYPECHILD, porcent_elitism = ELITISM, porcent_mute = MUTE) + GA.run() + except GenecticException: + print GenecticException.what + + + """ def __init__(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP, selection_type = FILL_NEXT_GENERATION, High_Low = False, size_pool = 1000, porcent_elitism = 10, porcent_mute = 2, can_repeated_chro = False, testing = False): @@ -73,6 +176,10 @@ def __init__(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP self.__POOL = self.__Generate_pool() self.__TEST_POOL = testing # Flag for testing purpose + """ + Function that generate a pool + """ + def __Generate_pool(self): if self.__CHRO_IS_F is False: if self.__CAN_REPETEAD_CHRO is False: @@ -87,9 +194,17 @@ def __Generate_pool(self): in range(self.__SIZE_POOL)] return new_pool + """ + Function that returns a key to sort pool + """ + def __getKey(self, item): return item[1] + """ + Function that returns a individuos i + """ + def __Get_Individuos(self, individual): if individual not in range(0, self.__SIZE_POOL): a = GenecticException @@ -97,6 +212,10 @@ def __Get_Individuos(self, individual): raise a return copy.copy(self.__POOL[individual][0]) + """ + Function that set the Fittnes to sort pool + """ + def __Set_Fittnes(self, individual, Fittnes): if individual not in range(0, self.__SIZE_POOL): a = GenecticException @@ -104,9 +223,17 @@ def __Set_Fittnes(self, individual, Fittnes): raise a self.__POOL[individual][1] = Fittnes + """ + Function that sort pool if rever is True sort of highest to lowest else lowest to highest + """ + def __sort_pool(self, rever = False): self.__POOL.sort(key = self.__getKey, reverse = rever) + """ + Generate a child by flip method + """ + def __Generate_Child_flip(self, item): child = copy.copy(item) index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] @@ -135,6 +262,10 @@ def __Generate_Child_tournament_Det(self, item): listIndividual = [item, child, child2] return self.__Tournament_Selection_Deterministic(listIndividual) + """ + Generate two sons by split method + """ + def __Generate_Child_split(self, item1, item2): child1 = copy.copy(item1) child2 = copy.copy(item2) @@ -147,6 +278,10 @@ def __Generate_Child_split(self, item1, item2): else: return [child1,child2] + """ + Generate a child by mean method + """ + def __Generate_Child_Mean(self, item1, item2): child = copy.copy(item1) if self.__CHRO_IS_F is True: @@ -167,6 +302,10 @@ def __Generate_Child_Mean(self, item1, item2): n+=1 return child + """ + Function that replace the chromosomes repeated + """ + def __Replace_repeated(self, child1, child2, split): for i in range(0, split): if child1[i] in child1[split:self.__N_CHROMOSOMES]: @@ -178,6 +317,10 @@ def __Replace_repeated(self, child1, child2, split): break return [child1, child2] + """ + Generate child main + """ + def __Generate_Child(self, item1, item2 = None): if self.__TYPECHILD is CHILD_FLIP: return self.__Generate_Child_flip(item1) @@ -188,6 +331,10 @@ def __Generate_Child(self, item1, item2 = None): elif self.__TYPECHILD is CHILD_MEAN: return self.__Generate_Child_Mean(item1, item2) + """ + Function that fill the pool + """ + def __Fill_Next_Generation(self): new_pull = copy.copy(self.__POOL) if self.__TYPECHILD in [CHILD_FLIP, CHILD_FLIP2, CHILD_MEAN]: @@ -225,6 +372,10 @@ def __Tournament_Selection_Deterministic(self, listItems): def __Tournament_Selection_Probabilistic(self, listItems): return listItems[randint(0, len(listItems) - 1)] + """ + Function that selct the individuos to fill next pool + """ + def __Roulette(self): new_pool = copy.copy(self.__POOL) for i in (range(1, self.__SIZE_POOL)): @@ -261,12 +412,20 @@ def __Roulette(self): new_pool[dest+j][0] = copy.copy(childs[j]) return new_pool + """ + Function main for fill next pool, this call the different forms the generate next pool + """ + def __Next_Generation(self): if self.__SELECTION_TYPE is FILL_NEXT_GENERATION: self.__Fill_Next_Generation() elif self.__SELECTION_TYPE is ROULETTE: self.__Roulette() + """ + Function that mute a individuos + """ + def __mute_individuals(self, item): index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] index.sort() @@ -288,20 +447,39 @@ def set_pool(self, pool): self.__TEST_POOL = True self.__POOL = copy.copy(pool) + """ + Get a empty pool + """ + def get_empty_pool(self): pool = [[[0 for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] return pool + """ + Get the pool + """ + def get_pool(self): return copy.copy(self.__POOL) + """ + Print the individuals of the pool + """ def print_individuals(self): for i in range(0, self.__SIZE_POOL): print self.__POOL[i][:], "," + """ + Return the win individual + """ + def Winner_Probability(self): return self.__POOL[0][:] + """ + Function main that run the algorithm + """ + def run(self, print_best = 0): for x in range(self.__ITMAX): for i in range(self.__SIZE_POOL): @@ -364,5 +542,65 @@ def help(self): father1 [1, 5, 7, 6] father2 [3, 8, 1, 3] child [2, 6, 4, 4] child[i] = floor((father1[i]+father2[i])/2) + + Example: + This is the typical travelling salesman problem (TSP) in this case there are 20 cities. + +from Genetic_Algorithm import * + + +ELITISM = 10 +MUTE = 2 +REVERSE = True +SELECTION_TYPE = FILL_NEXT_GENERATION +SIZE_PULL = 1000 +N_CHROMOSOMES = 20 +HIGH_LOW = False +ITMAX = 100 +TYPECHILD = CHILD_FLIP +distance = [[9.22337203685e+18, 77.0, 30.0, 52.0, 30.0, 28.0, 28.0, 91.0, 35.0, 26.0, 61.0, 56.0, 27.0, 44.0, 35.0, 71.0, 55.0, 58.0, 30.0, 74.0] , + [77.0, 9.22337203685e+18, 41.0, 39.0, 82.0, 64.0, 72.0, 99.0, 89.0, 28.0, 40.0, 64.0, 72.0, 86.0, 86.0, 82.0, 94.0, 33.0, 64.0, 42.0] , + [30.0, 41.0, 9.22337203685e+18, 22.0, 37.0, 32.0, 39.0, 22.0, 83.0, 41.0, 92.0, 77.0, 88.0, 46.0, 55.0, 28.0, 23.0, 56.0, 21.0, 60.0] , + [52.0, 39.0, 22.0, 9.22337203685e+18, 49.0, 55.0, 90.0, 94.0, 24.0, 22.0, 74.0, 26.0, 72.0, 26.0, 36.0, 93.0, 61.0, 98.0, 69.0, 49.0] , + [30.0, 82.0, 37.0, 49.0, 9.22337203685e+18, 30.0, 61.0, 55.0, 65.0, 26.0, 23.0, 73.0, 77.0, 99.0, 35.0, 82.0, 41.0, 90.0, 93.0, 60.0] , + [28.0, 64.0, 32.0, 55.0, 30.0, 9.22337203685e+18, 42.0, 83.0, 39.0, 36.0, 24.0, 95.0, 55.0, 98.0, 20.0, 58.0, 92.0, 95.0, 91.0, 30.0] , + [28.0, 72.0, 39.0, 90.0, 61.0, 42.0, 9.22337203685e+18, 61.0, 54.0, 28.0, 91.0, 77.0, 55.0, 62.0, 96.0, 31.0, 23.0, 91.0, 49.0, 100.0] , + [91.0, 99.0, 22.0, 94.0, 55.0, 83.0, 61.0, 9.22337203685e+18, 43.0, 100.0, 46.0, 65.0, 90.0, 60.0, 63.0, 80.0, 69.0, 39.0, 60.0, 62.0] , + [35.0, 89.0, 83.0, 24.0, 65.0, 39.0, 54.0, 43.0, 9.22337203685e+18, 31.0, 97.0, 56.0, 93.0, 94.0, 39.0, 33.0, 32.0, 46.0, 94.0, 92.0] , + [26.0, 28.0, 41.0, 22.0, 26.0, 36.0, 28.0, 100.0, 31.0, 9.22337203685e+18, 70.0, 81.0, 22.0, 43.0, 21.0, 72.0, 99.0, 70.0, 38.0, 98.0] , + [61.0, 40.0, 92.0, 74.0, 23.0, 24.0, 91.0, 46.0, 97.0, 70.0, 9.22337203685e+18, 73.0, 69.0, 59.0, 71.0, 64.0, 78.0, 66.0, 42.0, 80.0] , + [56.0, 64.0, 77.0, 26.0, 73.0, 95.0, 77.0, 65.0, 56.0, 81.0, 73.0, 9.22337203685e+18, 73.0, 28.0, 36.0, 91.0, 64.0, 68.0, 30.0, 26.0] , + [27.0, 72.0, 88.0, 72.0, 77.0, 55.0, 55.0, 90.0, 93.0, 22.0, 69.0, 73.0, 9.22337203685e+18, 79.0, 73.0, 43.0, 87.0, 65.0, 30.0, 27.0] , + [44.0, 86.0, 46.0, 26.0, 99.0, 98.0, 62.0, 60.0, 94.0, 43.0, 59.0, 28.0, 79.0, 9.22337203685e+18, 88.0, 40.0, 39.0, 68.0, 31.0, 70.0] , + [35.0, 86.0, 55.0, 36.0, 35.0, 20.0, 96.0, 63.0, 39.0, 21.0, 71.0, 36.0, 73.0, 88.0, 9.22337203685e+18, 54.0, 58.0, 50.0, 29.0, 63.0] , + [71.0, 82.0, 28.0, 93.0, 82.0, 58.0, 31.0, 80.0, 33.0, 72.0, 64.0, 91.0, 43.0, 40.0, 54.0, 9.22337203685e+18, 39.0, 84.0, 49.0, 25.0] , + [55.0, 94.0, 23.0, 61.0, 41.0, 92.0, 23.0, 69.0, 32.0, 99.0, 78.0, 64.0, 87.0, 39.0, 58.0, 39.0, 9.22337203685e+18, 68.0, 63.0, 60.0] , + [58.0, 33.0, 56.0, 98.0, 90.0, 95.0, 91.0, 39.0, 46.0, 70.0, 66.0, 68.0, 65.0, 68.0, 50.0, 84.0, 68.0, 9.22337203685e+18, 79.0, 87.0] , + [30.0, 64.0, 21.0, 69.0, 93.0, 91.0, 49.0, 60.0, 94.0, 38.0, 42.0, 30.0, 30.0, 31.0, 29.0, 49.0, 63.0, 79.0, 9.22337203685e+18, 26.0] , + [74.0, 42.0, 60.0, 49.0, 60.0, 30.0, 100.0, 62.0, 92.0, 98.0, 80.0, 26.0, 27.0, 70.0, 63.0, 25.0, 60.0, 87.0, 26.0, 9.22337203685e+18]] +def fitnnes(item): + dist = 0 + cityant = item[0] + for cityact in item[1:N_CHROMOSOMES]: + dist = dist + distance[cityant][cityact] + cityant = cityact + dist = dist + distance[cityant][item[0]] + return dist + +if __name__ == "__main__": + print "[" + for x in distance: + print x[:20], "," + print "]" + f = fitnnes + chro = chromosome_t(N_CHROMOSOMES) + try: + GA = GeneticAlgorithm(f, chro, itmax = ITMAX, selection_type = SELECTION_TYPE, + High_Low = HIGH_LOW, size_pool = SIZE_PULL, child_type = TYPECHILD, porcent_elitism = ELITISM, porcent_mute = MUTE) + GA.run() + except GenecticException: + print GenecticException.what + + """ print s diff --git a/main.py b/main.py index f01404a..57ccf77 100644 --- a/main.py +++ b/main.py @@ -110,7 +110,6 @@ [ 84.0 , 93.0 , 56.0 , 44.0 , 31.0 , 86.0 , 52.0 , 85.0 , 92.0 , 44.0 , 29.0 , 35.0 , 21.0 , 75.0 , 98.0 , 41.0 , 51.0 , 28.0 , 76.0 , 61.0 , 94.0 , 59.0 , 30.0 , 78.0 , 84.0 , 77.0 , 76.0 , 78.0 , 33.0 , 48.0 , 79.0 , 95.0 , 58.0 , 35.0 , 37.0 , 75.0 , 55.0 , 45.0 , 46.0 , 73.0 , 24.0 , 89.0 , 27.0 , 29.0 , 74.0 , 90.0 , 33.0 , 22.0 , 42.0 , 42.0 , 60.0 , 96.0 , 56.0 , 86.0 , 80.0 , 69.0 , 78.0 , 62.0 , 58.0 , 31.0 , 75.0 , 50.0 , 38.0 , 26.0 , 77.0 , 35.0 , 64.0 , 82.0 , 78.0 , 21.0 , 95.0 , 72.0 , 73.0 , 37.0 , 32.0 , 70.0 , 95.0 , 80.0 , 28.0 , 97.0 , 83.0 , 67.0 , 66.0 , 66.0 , 26.0 , 91.0 , 36.0 , 75.0 , 24.0 , 26.0 , 48.0 , 52.0 , 91.0 , 59.0 , 29.0 , 26.0 , 71.0 , 9.22337203685e+18 , 63.0 , 33.0 ], [ 60.0 , 32.0 , 26.0 , 96.0 , 30.0 , 99.0 , 91.0 , 81.0 , 40.0 , 93.0 , 38.0 , 72.0 , 45.0 , 48.0 , 28.0 , 51.0 , 41.0 , 81.0 , 52.0 , 50.0 , 74.0 , 52.0 , 75.0 , 87.0 , 44.0 , 33.0 , 90.0 , 22.0 , 99.0 , 94.0 , 76.0 , 39.0 , 92.0 , 88.0 , 88.0 , 57.0 , 44.0 , 87.0 , 52.0 , 44.0 , 76.0 , 86.0 , 87.0 , 74.0 , 53.0 , 44.0 , 48.0 , 54.0 , 50.0 , 33.0 , 66.0 , 52.0 , 45.0 , 45.0 , 97.0 , 58.0 , 55.0 , 56.0 , 56.0 , 37.0 , 90.0 , 50.0 , 35.0 , 94.0 , 59.0 , 27.0 , 31.0 , 93.0 , 98.0 , 74.0 , 55.0 , 97.0 , 30.0 , 85.0 , 66.0 , 83.0 , 68.0 , 93.0 , 61.0 , 29.0 , 61.0 , 21.0 , 25.0 , 32.0 , 91.0 , 98.0 , 38.0 , 22.0 , 35.0 , 79.0 , 41.0 , 68.0 , 45.0 , 64.0 , 20.0 , 89.0 , 27.0 , 63.0 , 9.22337203685e+18 , 57.0 ], [ 22.0 , 69.0 , 81.0 , 79.0 , 57.0 , 30.0 , 27.0 , 34.0 , 62.0 , 65.0 , 29.0 , 29.0 , 49.0 , 53.0 , 58.0 , 40.0 , 44.0 , 67.0 , 65.0 , 24.0 , 95.0 , 36.0 , 48.0 , 92.0 , 29.0 , 55.0 , 48.0 , 63.0 , 70.0 , 53.0 , 100.0 , 90.0 , 100.0 , 49.0 , 34.0 , 97.0 , 48.0 , 46.0 , 97.0 , 89.0 , 71.0 , 86.0 , 89.0 , 22.0 , 63.0 , 70.0 , 65.0 , 34.0 , 74.0 , 49.0 , 99.0 , 32.0 , 34.0 , 78.0 , 77.0 , 41.0 , 95.0 , 53.0 , 21.0 , 74.0 , 96.0 , 55.0 , 52.0 , 23.0 , 57.0 , 42.0 , 85.0 , 68.0 , 38.0 , 23.0 , 25.0 , 95.0 , 72.0 , 92.0 , 52.0 , 79.0 , 90.0 , 99.0 , 98.0 , 75.0 , 57.0 , 95.0 , 65.0 , 92.0 , 21.0 , 70.0 , 98.0 , 73.0 , 37.0 , 97.0 , 61.0 , 52.0 , 29.0 , 39.0 , 75.0 , 72.0 , 40.0 , 33.0 , 57.0 , 9.22337203685e+18 ]]#100x100 - def fitnnes(item): dist = 0 cityant = item[0] @@ -122,6 +121,7 @@ def fitnnes(item): if __name__ == "__main__": f = fitnnes + help(GeneticAlgorithm) chro = chromosome_t(N_CHROMOSOMES) try: GA = GeneticAlgorithm(f, chro, itmax = ITMAX, selection_type = SELECTION_TYPE, From 1b0ce693bb53669cfb61bbd4ad30182768135d8c Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 5 Dec 2016 17:37:42 +0100 Subject: [PATCH 10/47] modified help(GeneticAlgorithm) --- Genetic_Algorithm.py | 88 +++++++++++++++++++++++++------------------- 1 file changed, 50 insertions(+), 38 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index fbff1f2..92f54f3 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -35,51 +35,63 @@ def __init__(self, n_chromosomes, maxvalue = None, minvalue = 0, chromosomes_is_ class GeneticAlgorithm: - """GeneticAlgorithm - The structure of a tuple of the PULL is: - [individual, FITNNES, PROBABILITY FOR THE ROULETTE] + """ +The structure of a tuple of the PULL is: +[individual, FITNNES, PROBABILITY FOR THE ROULETTE] - The structure of a individual is: - [value,value,value,...,value] It has as many values as chromosomes. +The structure of a individual is: +[value,value,value,...,value] It has as many values as chromosomes. - Ways to Generate Children: +Ways to Generate Children: - CHILD_FLIP - father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] - [ father ] - child [1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] - [ r_father ] - CHILD_SPLIT - father1[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] - [ father1_1 ][ father1_2 ] - father1[5, 4, 8, 6, 3, 2, 8, 6, 5, 7, 9, 3, 7] - [ father2_1 ][ father2_2 ] - child1 [1, 6, 7, 2, 6, 8, 8, 6, 5, 7, 9, 3, 7] - [ father1_1 ][ father2_2 ] - child2 [5, 4, 8, 6, 3, 2, 2, 1, 5, 6, 3, 8, 7] - [ father2_1 ][ father1_2 ] + fatherx [1, 2, 3] --> r_fatherx [3, 2, 1] - CHILD_FLIP2 - father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] - [ father_1 ][ father_2 ][ father_3 ] - child1[1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] - [ father_1 ][ r_father_2 ][ father_3 ] - child2[2, 7, 6, 1, 6, 8, 2, 1, 5, 7, 8, 3, 6] - [r_father_1][ father_2 ][r_father_3] - return the best [father, child1, child2] + CHILD_FLIP + father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] + [ father ] - CHILD_MEAN and chromosomes_is_float = True - father1 [1, 5, 7, 6] - father2 [3, 8, 1, 3] - child [2, 6.5, 4, 4.5] child[i] = (father1[i]+father2[i])/2 + child [1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] + [ r_father ] + CHILD_SPLIT + father1[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] + [ father1_1 ][ father1_2 ] - CHILD_MEAN and chromosomes_is_float = False - father1 [1, 5, 7, 6] - father2 [3, 8, 1, 3] - child [2, 6, 4, 4] child[i] = floor((father1[i]+father2[i])/2) + father1[5, 4, 8, 6, 3, 2, 8, 6, 5, 7, 9, 3, 7] + [ father2_1 ][ father2_2 ] - Example: - This is the typical travelling salesman problem (TSP) in this case there are 20 cities. + child1 [1, 6, 7, 2, 6, 8, 8, 6, 5, 7, 9, 3, 7] + [ father1_1 ][ father2_2 ] + + child2 [5, 4, 8, 6, 3, 2, 2, 1, 5, 6, 3, 8, 7] + [ father2_1 ][ father1_2 ] + + CHILD_FLIP2 + father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] + [ father_1 ][ father_2 ][ father_3 ] + + child1[1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] + [ father_1 ][ r_father_2 ][ father_3 ] + + child2[2, 7, 6, 1, 6, 8, 2, 1, 5, 7, 8, 3, 6] + [r_father_1][ father_2 ][r_father_3] + return the best [father, child1, child2] + + CHILD_MEAN and chromosomes_is_float = True + father1 [1, 5, 7, 6] + + father2 [3, 8, 1, 3] + + child [2, 6.5, 4, 4.5] child[i] = (father1[i]+father2[i])/2 + + CHILD_MEAN and chromosomes_is_float = False + father1 [1, 5, 7, 6] + + father2 [3, 8, 1, 3] + + child [2, 6, 4, 4] child[i] = floor((father1[i]+father2[i])/2) + +Example: +This is the typical travelling salesman problem (TSP) in this case there are 20 cities. from Genetic_Algorithm import * From 61ee0f6d4f64ec9508377c0e98163ba43c4bae17 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Tue, 6 Dec 2016 15:32:23 +0100 Subject: [PATCH 11/47] GUI-dev --- GUI.py | 73 ++++++++++++++++++++++++++++++++++++++++++++ Genetic_Algorithm.py | 16 +++++++++- main.py | 69 ++++++++++++++++++++++++++++++++++++++--- 3 files changed, 153 insertions(+), 5 deletions(-) create mode 100644 GUI.py diff --git a/GUI.py b/GUI.py new file mode 100644 index 0000000..f30ab82 --- /dev/null +++ b/GUI.py @@ -0,0 +1,73 @@ + +from PyQt4 import QtCore,QtGui +import copy + +RED = QtCore.Qt.red +BLUE = QtCore.Qt.blue +BLACK = QtCore.Qt.black +YELLOW = QtCore.Qt.yellow +GREEN = QtCore.Qt.green +class GUI(QtGui.QGraphicsView): + def __init__(self): + QtGui.QGraphicsView.__init__(self) + self.__scene = QtGui.QGraphicsScene(self) + self.__N_cities=0 + self.__listCitys=[] + + def __draw_road(self,Road,pen): + for i in range(len(Road) - 1): + p1 = None + p2 = None + for x in self.__listCitys: + if x[0] is Road[i]: + p1 = x[1] + elif x[0] is Road[i + 1]: + p2 = x[1] + if p1 is not None and p2 is not None: + break + item = QtGui.QGraphicsLineItem(p1[0], p1[1], p2[0], p2[1]) + item.setPen(pen) + self.__scene.addItem(item) + p1 = None + p2 = None + for x in self.__listCitys: + if x[0] is Road[0]: + p1 = x[1] + elif x[0] is Road[len(Road) - 1]: + p2 = x[1] + if p1 is not None and p2 is not None: + break + item = QtGui.QGraphicsLineItem(p1[0], p1[1], p2[0], p2[1]) + item.setPen(pen) + self.__scene.addItem(item) + self.setScene(self.__scene) + + def addCity(self,x,y): + punto = copy.copy([self.__N_cities, [x, y]]) + self.__listCitys.append(punto) + self.__N_cities+=1 + item=QtGui.QGraphicsEllipseItem(x-2,y-2,4,4) + self.__scene.addItem(item) + self.setScene(self.__scene) + + def Paint_road(self,Road1,color): + pen=QtGui.QPen() + pen.setColor(color); + pen.setWidth(1); + self.__draw_road(Road1,pen) + + def RePaint(self): + for x in self.__listCitys: + item = QtGui.QGraphicsEllipseItem(x[1][0]-2, x[1][1]-2, 4, 4) + self.__scene.addItem(item) + self.setScene(self.__scene) + + def get_listCities(self): + return copy.copy(self.__listCitys) + + def set_listCities(self,listcities): + self.__listCitys = copy.copy(listcities) + self.__N_cities = len(listcities) + + def Clear(self): + self.__scene.clear() \ No newline at end of file diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 92f54f3..1184bb3 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -4,6 +4,7 @@ import copy from time import * import math +from PySide import QtCore ROULETTE = 1 FILL_NEXT_GENERATION = 2 @@ -187,6 +188,10 @@ def __init__(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP self.__CAN_REPETEAD_CHRO = can_repeated_chro self.__POOL = self.__Generate_pool() self.__TEST_POOL = testing # Flag for testing purpose + self.timer = QtCore.QTimer() + self.timer.timeout.connect(self.__run) + self.timer.start(500) + """ Function that generate a pool @@ -492,7 +497,8 @@ def Winner_Probability(self): Function main that run the algorithm """ - def run(self, print_best = 0): + + def run(self, print_best=0): for x in range(self.__ITMAX): for i in range(self.__SIZE_POOL): item = self.__Get_Individuos(i) @@ -511,6 +517,14 @@ def run(self, print_best = 0): print "\rThe winer is: ", self.Winner_Probability() + @QtCore.Slot() + def __run(self): + for i in range(self.__SIZE_POOL): + item = self.__Get_Individuos(i) + self.__Set_Fittnes(i, self.__FUN_FITNESS(item)) + self.__sort_pool(self.__REVERSE) + print "\rThe winer is: ", self.Winner_Probability()[1], + self.__Next_Generation() def help(self): s = """GeneticAlgorithm The structure of a tuple of the PULL is: diff --git a/main.py b/main.py index 57ccf77..8e34725 100644 --- a/main.py +++ b/main.py @@ -1,15 +1,44 @@ from Genetic_Algorithm import * +from GUI import * +import sys +from PySide import QtCore -ELITISM = 1 +ELITISM = 10 MUTE = 2 REVERSE = True SELECTION_TYPE = FILL_NEXT_GENERATION SIZE_PULL = 1000 N_CHROMOSOMES = 20 HIGH_LOW = False -ITMAX = 100 -TYPECHILD = CHILD_MEAN +ITMAX = 1000 +TYPECHILD = CHILD_FLIP + +pcities=[ + [0, [143, 132]], [1, [171, 51]], [2, [153, 8]], [3, [-124, 66]], [4, [116, -120]], [5, [80, -113]], [6, [167, -5]], [7, [-97, 195]], [8, [58, 101]], [9, [163, -152]], [10, [-61, 90]], [11, [188, 139]], [12, [-12, -162]], [13, [-193, -6]], [14, [83, 145]], [15, [89, 195]], [16, [-84, -144]], [17, [151, -37]], [18, [141, 37]], [19, [107, -51]]] +dist=[[9223372036854775807, 85.70297544426332, 124.4025723206719, 275.0363612324741, 253.44230112591703, 252.9703539942971, 139.08630414242805, 248.13101378102658, 90.47651629014017, 284.70335438838794, 208.2786594925174, 45.5411901469428, 332.3567360532956, 363.23546082396746, 61.39218191268331, 82.97590011563598, 357.3583635512117, 169.1892431568863, 95.02105029939419, 186.50737250843463], +[85.70297544426332, 9223372036854775807, 46.61544808322666, 295.3811097548386, 179.62739212046696, 187.55532517100121, 56.142675390472796, 304.2367499169027, 123.5677951571525, 203.15757431117353, 235.25518060183074, 89.62700485902673, 280.8166661720775, 368.4358831601504, 128.76334882255898, 165.71059109181888, 321.01401838549043, 90.24411338142782, 33.1058907144937, 120.41594578792295], +[124.4025723206719, 46.61544808322666, 9223372036854775807, 283.0070670495703, 133.24038426843418, 141.315250415516, 19.1049731745428, 312.200256245891, 132.94359706281458, 160.31219541881399, 229.17242417009948, 135.5949851580065, 236.90715480964266, 346.2831211595506, 153.8473269186046, 197.6486782146544, 281.55461281960913, 45.044422518220834, 31.38470965295043, 74.81310045707235], +[275.0363612324741, 295.3811097548386, 283.0070670495703, 9223372036854775807, 303.63794229311986, 271.39823138701547, 299.5363083167047, 131.79529581893277, 185.33483212823216, 360.40671469882466, 67.4166151627327, 320.42627857277876, 254.02362094891885, 99.72462083156798, 221.56263222845138, 249.0180716333656, 213.7755832643195, 293.65626163935275, 266.58206991468876, 258.940147524481], +[253.44230112591703, 179.62739212046696, 133.24038426843418, 303.63794229311986, 9223372036854775807, 36.6742416417845, 125.80143083447024, 380.25517747954467, 228.4841351166422, 56.859475903318, 274.6434051638597, 268.8215021161812, 134.7145129523913, 329.3584673270144, 267.0468123756582, 316.1550252645053, 201.43485299222675, 90.07774419910837, 158.97798589741913, 69.58448102845921], +[252.9703539942971, 187.55532517100121, 141.315250415516, 271.39823138701547, 36.6742416417845, 9223372036854775807, 138.68309197591464, 355.2365409132343, 215.1278689523977, 91.706052144883, 247.1639132235934, 274.1678318111007, 104.23531071570709, 293.2200538844504, 258.0174412709342, 308.13146544940844, 166.90416411821485, 104.00480758118829, 161.92899678562824, 67.62396025078685], +[139.08630414242805, 56.142675390472796, 19.1049731745428, 299.5363083167047, 125.80143083447024, 138.68309197591464, 9223372036854775807, 331.20386471175124, 152.04275714416653, 147.05441169852742, 247.0, 145.52319402761884, 238.0966190436143, 360.0013888862097, 171.91858538273283, 214.67184258770408, 286.9181067831028, 35.77708763999664, 49.39635614091387, 75.6042326857432], +[248.13101378102658, 304.2367499169027, 312.200256245891, 131.79529581893277, 380.25517747954467, 355.2365409132343, 331.20386471175124, 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205.41178155110774, 345.39397794402845, 194.28844535895593, 240.14162487998618, 258.21309029559285, 9223372036854775807, 74.67261881037788, 46.17358552246078], +[95.02105029939419, 33.1058907144937, 31.38470965295043, 266.58206991468876, 158.97798589741913, 161.92899678562824, 49.39635614091387, 285.6711395993652, 104.80935072788114, 190.2761151589973, 208.83725721240452, 112.30761327710601, 251.01792764661252, 336.7565886512096, 122.58874336577564, 166.33700730745397, 288.7663415289254, 74.67261881037788, 9223372036854775807, 94.33981132056604], +[186.50737250843463, 120.41594578792295, 74.81310045707235, 258.940147524481, 69.58448102845921, 67.62396025078685, 75.6042326857432, 319.5809756540586, 159.70284906663375, 115.48592987892508, 219.32852071721086, 206.54539452623968, 162.73291000900832, 303.35622624235026, 197.46392075515973, 246.6576574931336, 212.43822631532208, 46.17358552246078, 94.33981132056604, 9223372036854775807]] + +GA=None + distance = [ [ 9.22337203685e+18 , 77.0 , 30.0 , 52.0 , 30.0 , 28.0 , 28.0 , 91.0 , 35.0 , 26.0 , 61.0 , 56.0 , 27.0 , 44.0 , 35.0 , 71.0 , 55.0 , 58.0 , 30.0 , 74.0 , 65.0 , 98.0 , 94.0 , 50.0 , 81.0 , 50.0 , 56.0 , 65.0 , 20.0 , 74.0 , 40.0 , 77.0 , 47.0 , 84.0 , 26.0 , 37.0 , 62.0 , 91.0 , 63.0 , 43.0 , 82.0 , 46.0 , 32.0 , 34.0 , 49.0 , 47.0 , 54.0 , 32.0 , 81.0 , 85.0 , 36.0 , 59.0 , 71.0 , 33.0 , 38.0 , 74.0 , 72.0 , 93.0 , 58.0 , 81.0 , 63.0 , 23.0 , 80.0 , 24.0 , 69.0 , 35.0 , 40.0 , 81.0 , 77.0 , 83.0 , 81.0 , 38.0 , 58.0 , 71.0 , 51.0 , 60.0 , 99.0 , 33.0 , 99.0 , 54.0 , 77.0 , 98.0 , 32.0 , 48.0 , 37.0 , 79.0 , 54.0 , 99.0 , 65.0 , 94.0 , 50.0 , 32.0 , 23.0 , 21.0 , 23.0 , 51.0 , 26.0 , 84.0 , 60.0 , 22.0 ], [ 77.0 , 9.22337203685e+18 , 41.0 , 39.0 , 82.0 , 64.0 , 72.0 , 99.0 , 89.0 , 28.0 , 40.0 , 64.0 , 72.0 , 86.0 , 86.0 , 82.0 , 94.0 , 33.0 , 64.0 , 42.0 , 49.0 , 23.0 , 34.0 , 57.0 , 68.0 , 30.0 , 33.0 , 63.0 , 43.0 , 51.0 , 22.0 , 96.0 , 34.0 , 55.0 , 82.0 , 74.0 , 47.0 , 72.0 , 77.0 , 90.0 , 33.0 , 28.0 , 41.0 , 20.0 , 56.0 , 32.0 , 79.0 , 95.0 , 93.0 , 75.0 , 54.0 , 89.0 , 33.0 , 62.0 , 29.0 , 41.0 , 78.0 , 73.0 , 38.0 , 64.0 , 91.0 , 76.0 , 82.0 , 59.0 , 95.0 , 29.0 , 62.0 , 50.0 , 25.0 , 86.0 , 46.0 , 47.0 , 88.0 , 44.0 , 29.0 , 46.0 , 98.0 , 70.0 , 57.0 , 48.0 , 83.0 , 32.0 , 49.0 , 27.0 , 67.0 , 53.0 , 65.0 , 69.0 , 92.0 , 53.0 , 97.0 , 38.0 , 82.0 , 96.0 , 68.0 , 90.0 , 57.0 , 93.0 , 32.0 , 69.0 ], [ 30.0 , 41.0 , 9.22337203685e+18 , 22.0 , 37.0 , 32.0 , 39.0 , 22.0 , 83.0 , 41.0 , 92.0 , 77.0 , 88.0 , 46.0 , 55.0 , 28.0 , 23.0 , 56.0 , 21.0 , 60.0 , 97.0 , 86.0 , 74.0 , 84.0 , 36.0 , 32.0 , 45.0 , 53.0 , 51.0 , 87.0 , 85.0 , 29.0 , 76.0 , 93.0 , 30.0 , 81.0 , 30.0 , 33.0 , 41.0 , 75.0 , 46.0 , 53.0 , 67.0 , 37.0 , 100.0 , 68.0 , 51.0 , 57.0 , 75.0 , 77.0 , 78.0 , 51.0 , 95.0 , 40.0 , 35.0 , 49.0 , 52.0 , 55.0 , 65.0 , 48.0 , 95.0 , 74.0 , 79.0 , 46.0 , 55.0 , 36.0 , 88.0 , 37.0 , 96.0 , 54.0 , 52.0 , 31.0 , 91.0 , 87.0 , 67.0 , 59.0 , 40.0 , 93.0 , 37.0 , 83.0 , 75.0 , 27.0 , 54.0 , 85.0 , 26.0 , 47.0 , 22.0 , 65.0 , 32.0 , 96.0 , 79.0 , 75.0 , 63.0 , 33.0 , 53.0 , 57.0 , 99.0 , 56.0 , 26.0 , 81.0 ], @@ -110,6 +139,7 @@ [ 84.0 , 93.0 , 56.0 , 44.0 , 31.0 , 86.0 , 52.0 , 85.0 , 92.0 , 44.0 , 29.0 , 35.0 , 21.0 , 75.0 , 98.0 , 41.0 , 51.0 , 28.0 , 76.0 , 61.0 , 94.0 , 59.0 , 30.0 , 78.0 , 84.0 , 77.0 , 76.0 , 78.0 , 33.0 , 48.0 , 79.0 , 95.0 , 58.0 , 35.0 , 37.0 , 75.0 , 55.0 , 45.0 , 46.0 , 73.0 , 24.0 , 89.0 , 27.0 , 29.0 , 74.0 , 90.0 , 33.0 , 22.0 , 42.0 , 42.0 , 60.0 , 96.0 , 56.0 , 86.0 , 80.0 , 69.0 , 78.0 , 62.0 , 58.0 , 31.0 , 75.0 , 50.0 , 38.0 , 26.0 , 77.0 , 35.0 , 64.0 , 82.0 , 78.0 , 21.0 , 95.0 , 72.0 , 73.0 , 37.0 , 32.0 , 70.0 , 95.0 , 80.0 , 28.0 , 97.0 , 83.0 , 67.0 , 66.0 , 66.0 , 26.0 , 91.0 , 36.0 , 75.0 , 24.0 , 26.0 , 48.0 , 52.0 , 91.0 , 59.0 , 29.0 , 26.0 , 71.0 , 9.22337203685e+18 , 63.0 , 33.0 ], [ 60.0 , 32.0 , 26.0 , 96.0 , 30.0 , 99.0 , 91.0 , 81.0 , 40.0 , 93.0 , 38.0 , 72.0 , 45.0 , 48.0 , 28.0 , 51.0 , 41.0 , 81.0 , 52.0 , 50.0 , 74.0 , 52.0 , 75.0 , 87.0 , 44.0 , 33.0 , 90.0 , 22.0 , 99.0 , 94.0 , 76.0 , 39.0 , 92.0 , 88.0 , 88.0 , 57.0 , 44.0 , 87.0 , 52.0 , 44.0 , 76.0 , 86.0 , 87.0 , 74.0 , 53.0 , 44.0 , 48.0 , 54.0 , 50.0 , 33.0 , 66.0 , 52.0 , 45.0 , 45.0 , 97.0 , 58.0 , 55.0 , 56.0 , 56.0 , 37.0 , 90.0 , 50.0 , 35.0 , 94.0 , 59.0 , 27.0 , 31.0 , 93.0 , 98.0 , 74.0 , 55.0 , 97.0 , 30.0 , 85.0 , 66.0 , 83.0 , 68.0 , 93.0 , 61.0 , 29.0 , 61.0 , 21.0 , 25.0 , 32.0 , 91.0 , 98.0 , 38.0 , 22.0 , 35.0 , 79.0 , 41.0 , 68.0 , 45.0 , 64.0 , 20.0 , 89.0 , 27.0 , 63.0 , 9.22337203685e+18 , 57.0 ], [ 22.0 , 69.0 , 81.0 , 79.0 , 57.0 , 30.0 , 27.0 , 34.0 , 62.0 , 65.0 , 29.0 , 29.0 , 49.0 , 53.0 , 58.0 , 40.0 , 44.0 , 67.0 , 65.0 , 24.0 , 95.0 , 36.0 , 48.0 , 92.0 , 29.0 , 55.0 , 48.0 , 63.0 , 70.0 , 53.0 , 100.0 , 90.0 , 100.0 , 49.0 , 34.0 , 97.0 , 48.0 , 46.0 , 97.0 , 89.0 , 71.0 , 86.0 , 89.0 , 22.0 , 63.0 , 70.0 , 65.0 , 34.0 , 74.0 , 49.0 , 99.0 , 32.0 , 34.0 , 78.0 , 77.0 , 41.0 , 95.0 , 53.0 , 21.0 , 74.0 , 96.0 , 55.0 , 52.0 , 23.0 , 57.0 , 42.0 , 85.0 , 68.0 , 38.0 , 23.0 , 25.0 , 95.0 , 72.0 , 92.0 , 52.0 , 79.0 , 90.0 , 99.0 , 98.0 , 75.0 , 57.0 , 95.0 , 65.0 , 92.0 , 21.0 , 70.0 , 98.0 , 73.0 , 37.0 , 97.0 , 61.0 , 52.0 , 29.0 , 39.0 , 75.0 , 72.0 , 40.0 , 33.0 , 57.0 , 9.22337203685e+18 ]]#100x100 +distance = dist def fitnnes(item): dist = 0 cityant = item[0] @@ -119,14 +149,45 @@ def fitnnes(item): dist = dist + distance[cityant][item[0]] return dist +@QtCore.Slot() +def update_view(): + winneract = GA.Winner_Probability()[0] + view.Clear() + view.RePaint() + view.Paint_road(winneract, RED) + + if __name__ == "__main__": f = fitnnes - help(GeneticAlgorithm) + #help(GeneticAlgorithm) chro = chromosome_t(N_CHROMOSOMES) + app = QtGui.QApplication(sys.argv) + view = GUI() + view.scale(1.8, 1.8) + view.show() + view.set_listCities(pcities) + view.RePaint() + try: GA = GeneticAlgorithm(f, chro, itmax = ITMAX, selection_type = SELECTION_TYPE, High_Low = HIGH_LOW, size_pool = SIZE_PULL, child_type = TYPECHILD, porcent_elitism = ELITISM, porcent_mute = MUTE) + timer = QtCore.QTimer() + QtCore.QTimer.connect(timer, QtCore.SIGNAL("timeout()"), update_view) + timer.start(500) +# + # timer.timeout.connect(update_view, GA) + # timer.start(500) + + """ GA.run() + while(1): + winneract = GA.Winner_Probability()[0] + view.Paint_road(winneract,RED) + print winneract + if winnerant is not None: + view.Paint_road(winnerant,BLACK) + """ except GenecticException: print GenecticException.what + sys.exit(app.exec_()) From 154209aafa371037cc4d18b02f036cf5c70c230b Mon Sep 17 00:00:00 2001 From: ibarbech Date: Thu, 8 Dec 2016 02:45:38 +0100 Subject: [PATCH 12/47] Update GUI --- GUI.py | 11 ++++++++--- Genetic_Algorithm.py | 5 ++++- main.py | 20 ++++++++++++++------ 3 files changed, 26 insertions(+), 10 deletions(-) diff --git a/GUI.py b/GUI.py index f30ab82..ad9250d 100644 --- a/GUI.py +++ b/GUI.py @@ -47,18 +47,23 @@ def addCity(self,x,y): self.__listCitys.append(punto) self.__N_cities+=1 item=QtGui.QGraphicsEllipseItem(x-2,y-2,4,4) + label = QtGui.QGraphicsTextItem(QtCore.QString(str(x[0])), item) + label.moveBy(x[1][0], x[1][1]) self.__scene.addItem(item) self.setScene(self.__scene) - def Paint_road(self,Road1,color): + def Paint_road(self,Road1,color,size=1): pen=QtGui.QPen() pen.setColor(color); - pen.setWidth(1); + pen.setWidth(size); self.__draw_road(Road1,pen) def RePaint(self): for x in self.__listCitys: - item = QtGui.QGraphicsEllipseItem(x[1][0]-2, x[1][1]-2, 4, 4) + item = QtGui.QGraphicsEllipseItem(x[1][0]-5, x[1][1]-5, 10, 10) + label = QtGui.QGraphicsTextItem(QtCore.QString(str(x[0])), item) + label.moveBy(x[1][0], x[1][1]) + self.__scene.addItem(label) self.__scene.addItem(item) self.setScene(self.__scene) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 1184bb3..c5d5f0b 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -190,7 +190,6 @@ def __init__(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP self.__TEST_POOL = testing # Flag for testing purpose self.timer = QtCore.QTimer() self.timer.timeout.connect(self.__run) - self.timer.start(500) """ @@ -525,6 +524,7 @@ def __run(self): self.__sort_pool(self.__REVERSE) print "\rThe winer is: ", self.Winner_Probability()[1], self.__Next_Generation() + def help(self): s = """GeneticAlgorithm The structure of a tuple of the PULL is: @@ -630,3 +630,6 @@ def fitnnes(item): """ print s + + def start(self,period=500): + self.timer.start(period) diff --git a/main.py b/main.py index 8e34725..3b79d6d 100644 --- a/main.py +++ b/main.py @@ -1,7 +1,7 @@ from Genetic_Algorithm import * from GUI import * import sys -from PySide import QtCore +from PySide import QtCore,QtGui ELITISM = 10 @@ -151,12 +151,21 @@ def fitnnes(item): @QtCore.Slot() def update_view(): - winneract = GA.Winner_Probability()[0] + + winneract__ = GA.Winner_Probability()[0] + if winneract__ is not update_view.winneract: + update_view.winnerant = update_view.winneract + update_view.winneract = winneract__ view.Clear() view.RePaint() - view.Paint_road(winneract, RED) + view.Paint_road(update_view.winneract, RED, 3) + if update_view.winnerant is not None: + view.Paint_road(update_view.winnerant, BLACK) + +update_view.winnerant = None +update_view.winneract = None if __name__ == "__main__": f = fitnnes #help(GeneticAlgorithm) @@ -168,15 +177,14 @@ def update_view(): view.set_listCities(pcities) view.RePaint() + try: GA = GeneticAlgorithm(f, chro, itmax = ITMAX, selection_type = SELECTION_TYPE, High_Low = HIGH_LOW, size_pool = SIZE_PULL, child_type = TYPECHILD, porcent_elitism = ELITISM, porcent_mute = MUTE) + GA.start() timer = QtCore.QTimer() QtCore.QTimer.connect(timer, QtCore.SIGNAL("timeout()"), update_view) timer.start(500) -# - # timer.timeout.connect(update_view, GA) - # timer.start(500) """ GA.run() From 12947c02d2e726021eb12a84295b85443c03aaf6 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Thu, 8 Dec 2016 22:16:56 +0100 Subject: [PATCH 13/47] New version of GUI --- Genetic_Algorithm.py | 3 + gui.ui | 185 +++++++++++++++++++++++++++++++++++++++++++ main.py | 66 +++++++-------- GUI.py => scene.py | 29 ++++--- 4 files changed, 237 insertions(+), 46 deletions(-) create mode 100644 gui.ui rename GUI.py => scene.py (75%) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index c5d5f0b..4789d9a 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -633,3 +633,6 @@ def fitnnes(item): def start(self,period=500): self.timer.start(period) + + def stop(self): + self.timer.stop() diff --git a/gui.ui b/gui.ui new file mode 100644 index 0000000..e5abfae --- /dev/null +++ b/gui.ui @@ -0,0 +1,185 @@ + + + Dialog + + + + 0 + 0 + 700 + 494 + + + + Dialog + + + + + + + + + + + + CHILD MODE + + + + + + + + CHILD_FLIP + + + + + CHILD_SPLIT + + + + + CHILD_FLIP2 + + + + + CHILD_MEAN + + + + + + + + + + + + MUTE % + + + + + + + 0 + + + 100 + + + 2 + + + + + + + + + + + ELITISM % + + + + + + + 100 + + + 10 + + + + + + + + + + + SIZE POOL + + + + + + + 100000 + + + 10 + + + 1000 + + + + + + + + + + + CITIES + + + + + + + 20 + + + 200 + + + 20 + + + + + + + + + Sort high to low + + + + + + + + + + + + + + + + Stop + + + + + + + Start + + + + + + + + + + diff --git a/main.py b/main.py index 3b79d6d..db9e3f5 100644 --- a/main.py +++ b/main.py @@ -1,6 +1,7 @@ from Genetic_Algorithm import * -from GUI import * +from scene import * import sys +from gui import * from PySide import QtCore,QtGui @@ -140,6 +141,9 @@ [ 60.0 , 32.0 , 26.0 , 96.0 , 30.0 , 99.0 , 91.0 , 81.0 , 40.0 , 93.0 , 38.0 , 72.0 , 45.0 , 48.0 , 28.0 , 51.0 , 41.0 , 81.0 , 52.0 , 50.0 , 74.0 , 52.0 , 75.0 , 87.0 , 44.0 , 33.0 , 90.0 , 22.0 , 99.0 , 94.0 , 76.0 , 39.0 , 92.0 , 88.0 , 88.0 , 57.0 , 44.0 , 87.0 , 52.0 , 44.0 , 76.0 , 86.0 , 87.0 , 74.0 , 53.0 , 44.0 , 48.0 , 54.0 , 50.0 , 33.0 , 66.0 , 52.0 , 45.0 , 45.0 , 97.0 , 58.0 , 55.0 , 56.0 , 56.0 , 37.0 , 90.0 , 50.0 , 35.0 , 94.0 , 59.0 , 27.0 , 31.0 , 93.0 , 98.0 , 74.0 , 55.0 , 97.0 , 30.0 , 85.0 , 66.0 , 83.0 , 68.0 , 93.0 , 61.0 , 29.0 , 61.0 , 21.0 , 25.0 , 32.0 , 91.0 , 98.0 , 38.0 , 22.0 , 35.0 , 79.0 , 41.0 , 68.0 , 45.0 , 64.0 , 20.0 , 89.0 , 27.0 , 63.0 , 9.22337203685e+18 , 57.0 ], [ 22.0 , 69.0 , 81.0 , 79.0 , 57.0 , 30.0 , 27.0 , 34.0 , 62.0 , 65.0 , 29.0 , 29.0 , 49.0 , 53.0 , 58.0 , 40.0 , 44.0 , 67.0 , 65.0 , 24.0 , 95.0 , 36.0 , 48.0 , 92.0 , 29.0 , 55.0 , 48.0 , 63.0 , 70.0 , 53.0 , 100.0 , 90.0 , 100.0 , 49.0 , 34.0 , 97.0 , 48.0 , 46.0 , 97.0 , 89.0 , 71.0 , 86.0 , 89.0 , 22.0 , 63.0 , 70.0 , 65.0 , 34.0 , 74.0 , 49.0 , 99.0 , 32.0 , 34.0 , 78.0 , 77.0 , 41.0 , 95.0 , 53.0 , 21.0 , 74.0 , 96.0 , 55.0 , 52.0 , 23.0 , 57.0 , 42.0 , 85.0 , 68.0 , 38.0 , 23.0 , 25.0 , 95.0 , 72.0 , 92.0 , 52.0 , 79.0 , 90.0 , 99.0 , 98.0 , 75.0 , 57.0 , 95.0 , 65.0 , 92.0 , 21.0 , 70.0 , 98.0 , 73.0 , 37.0 , 97.0 , 61.0 , 52.0 , 29.0 , 39.0 , 75.0 , 72.0 , 40.0 , 33.0 , 57.0 , 9.22337203685e+18 ]]#100x100 distance = dist +timer=None + + def fitnnes(item): dist = 0 cityant = item[0] @@ -152,49 +156,49 @@ def fitnnes(item): @QtCore.Slot() def update_view(): - winneract__ = GA.Winner_Probability()[0] - if winneract__ is not update_view.winneract: + winneract__ = GA.Winner_Probability() + + if winneract__[0] is not update_view.winneract: update_view.winnerant = update_view.winneract - update_view.winneract = winneract__ - view.Clear() - view.RePaint() - view.Paint_road(update_view.winneract, RED, 3) + update_view.winneract = winneract__[0] + scene.Clear() + scene.RePaint() + scene.set_text(str(winneract__[1]) + " km", -400, -170) + scene.Paint_road(update_view.winneract, RED, 3) if update_view.winnerant is not None: - view.Paint_road(update_view.winnerant, BLACK) - - - + scene.Paint_road(update_view.winnerant, BLACK) update_view.winnerant = None update_view.winneract = None + +def start(): + GA.start(100) + timer.start(100) +def stop(): + GA.stop() + timer.stop() + if __name__ == "__main__": - f = fitnnes - #help(GeneticAlgorithm) - chro = chromosome_t(N_CHROMOSOMES) app = QtGui.QApplication(sys.argv) - view = GUI() - view.scale(1.8, 1.8) - view.show() - view.set_listCities(pcities) - view.RePaint() + Dialog = QtGui.QDialog() + ui = Ui_Dialog() + ui.setupUi(Dialog) + Dialog.show() + chro = chromosome_t(N_CHROMOSOMES) + scene = SCENE() + scene.set_listCities(pcities) + scene.RePaint() + ui.graphicsView.setScene(scene) + ui.start.clicked.connect(start) + ui.stop.clicked.connect(stop) + f = fitnnes try: GA = GeneticAlgorithm(f, chro, itmax = ITMAX, selection_type = SELECTION_TYPE, High_Low = HIGH_LOW, size_pool = SIZE_PULL, child_type = TYPECHILD, porcent_elitism = ELITISM, porcent_mute = MUTE) - GA.start() timer = QtCore.QTimer() QtCore.QTimer.connect(timer, QtCore.SIGNAL("timeout()"), update_view) - timer.start(500) - - """ - GA.run() - while(1): - winneract = GA.Winner_Probability()[0] - view.Paint_road(winneract,RED) - print winneract - if winnerant is not None: - view.Paint_road(winnerant,BLACK) - """ + except GenecticException: print GenecticException.what sys.exit(app.exec_()) diff --git a/GUI.py b/scene.py similarity index 75% rename from GUI.py rename to scene.py index ad9250d..799af01 100644 --- a/GUI.py +++ b/scene.py @@ -1,5 +1,5 @@ -from PyQt4 import QtCore,QtGui +from PySide import QtCore,QtGui import copy RED = QtCore.Qt.red @@ -7,10 +7,9 @@ BLACK = QtCore.Qt.black YELLOW = QtCore.Qt.yellow GREEN = QtCore.Qt.green -class GUI(QtGui.QGraphicsView): +class SCENE(QtGui.QGraphicsScene): def __init__(self): - QtGui.QGraphicsView.__init__(self) - self.__scene = QtGui.QGraphicsScene(self) + QtGui.QGraphicsScene.__init__(self) self.__N_cities=0 self.__listCitys=[] @@ -27,7 +26,7 @@ def __draw_road(self,Road,pen): break item = QtGui.QGraphicsLineItem(p1[0], p1[1], p2[0], p2[1]) item.setPen(pen) - self.__scene.addItem(item) + self.addItem(item) p1 = None p2 = None for x in self.__listCitys: @@ -39,8 +38,7 @@ def __draw_road(self,Road,pen): break item = QtGui.QGraphicsLineItem(p1[0], p1[1], p2[0], p2[1]) item.setPen(pen) - self.__scene.addItem(item) - self.setScene(self.__scene) + self.addItem(item) def addCity(self,x,y): punto = copy.copy([self.__N_cities, [x, y]]) @@ -49,8 +47,7 @@ def addCity(self,x,y): item=QtGui.QGraphicsEllipseItem(x-2,y-2,4,4) label = QtGui.QGraphicsTextItem(QtCore.QString(str(x[0])), item) label.moveBy(x[1][0], x[1][1]) - self.__scene.addItem(item) - self.setScene(self.__scene) + self.addItem(item) def Paint_road(self,Road1,color,size=1): pen=QtGui.QPen() @@ -61,11 +58,8 @@ def Paint_road(self,Road1,color,size=1): def RePaint(self): for x in self.__listCitys: item = QtGui.QGraphicsEllipseItem(x[1][0]-5, x[1][1]-5, 10, 10) - label = QtGui.QGraphicsTextItem(QtCore.QString(str(x[0])), item) - label.moveBy(x[1][0], x[1][1]) - self.__scene.addItem(label) - self.__scene.addItem(item) - self.setScene(self.__scene) + self.set_text(str(x[0]),x[1][0], x[1][1]) + self.addItem(item) def get_listCities(self): return copy.copy(self.__listCitys) @@ -74,5 +68,10 @@ def set_listCities(self,listcities): self.__listCitys = copy.copy(listcities) self.__N_cities = len(listcities) + def set_text(self, text, x, y): + label = QtGui.QGraphicsTextItem(text) + label.moveBy(x, y) + self.addItem(label) + def Clear(self): - self.__scene.clear() \ No newline at end of file + self.clear() \ No newline at end of file From 78896289674571bd9732783d2ea54f2edf4887a6 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Fri, 9 Dec 2016 00:53:20 +0100 Subject: [PATCH 14/47] Update GUI --- Genetic_Algorithm.py | 68 +++++----- gui.ui | 40 +++++- main.py | 304 ++++++++++++++++++++++++++++++++++++------- 3 files changed, 330 insertions(+), 82 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 4789d9a..aa85754 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -152,9 +152,29 @@ def fitnnes(item): """ - def __init__(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP, selection_type = FILL_NEXT_GENERATION, - High_Low = False, size_pool = 1000, porcent_elitism = 10, porcent_mute = 2, can_repeated_chro = False, testing = False): + def __init__(self): + self.__ELITISM = None + self.__MUTE = None + self.__REVERSE = None + self.__SELECTION_TYPE = None + self.__SIZE_POOL = None + self.__N_CHROMOSOMES = None + self.__FUN_FITNESS = None + self.__ITMAX = None + self.__TYPECHILD = None + self.__rangechild = None + self.__sizeelitism = None + self.__CHRO_IS_F = None + self.__CHRO_MAXVALUE = None + self.__CHRO_MINVALUE = None + self.__CAN_REPETEAD_CHRO = None + self.__POOL = None + self.__TEST_POOL = None + self.timer = QtCore.QTimer() + self.timer.timeout.connect(self.__run) + def setattrGeneticAlgorithm(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP, selection_type = FILL_NEXT_GENERATION, + High_Low = False, size_pool = 1000, porcent_elitism = 10, porcent_mute = 2, can_repeated_chro = False, testing = False): if selection_type not in [ROULETTE, FILL_NEXT_GENERATION]: a = GenecticException a.what = "Error: selection_type is not correct." @@ -187,11 +207,7 @@ def __init__(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP self.__CHRO_MINVALUE = chromosomes.MINVALUE self.__CAN_REPETEAD_CHRO = can_repeated_chro self.__POOL = self.__Generate_pool() - self.__TEST_POOL = testing # Flag for testing purpose - self.timer = QtCore.QTimer() - self.timer.timeout.connect(self.__run) - - + self.__TEST_POOL = testing """ Function that generate a pool """ @@ -286,11 +302,10 @@ def __Generate_Child_split(self, item1, item2): child1 = copy.copy(item1) child2 = copy.copy(item2) split = randint(1, self.__N_CHROMOSOMES - 1) - child1[0:split] = copy.copy(child2[0:split]) # [item1[::split],item2[split::]] - child2[split:self.__N_CHROMOSOMES] = copy.copy( - item1[split:self.__N_CHROMOSOMES]) # [item2[::split],item1[split::]] + child1[split:] = copy.copy(child2[split:]) # [item1[::split],item2[split::]] + child2[split:] = copy.copy(item1[split:]) # [item2[::split],item1[split::]] if self.__CAN_REPETEAD_CHRO is False: - return self.__Replace_repeated(child1, child2, split) + return [self.__Replace_repeated(child1),self.__Replace_repeated(child2)] else: return [child1,child2] @@ -308,30 +323,23 @@ def __Generate_Child_Mean(self, item1, item2): f = (item1[i] + item2[i])/2 child[i] = int(math.floor(f)) if self.__CAN_REPETEAD_CHRO is False: - n=self.__CHRO_MINVALUE - for i in range(self.__N_CHROMOSOMES): - if child[i] in child [i+1:]: - while(True): - if n not in child: - child[i]=n - break - n+=1 + self.__Replace_repeated(child) return child """ Function that replace the chromosomes repeated """ - def __Replace_repeated(self, child1, child2, split): - for i in range(0, split): - if child1[i] in child1[split:self.__N_CHROMOSOMES]: - for j in range(0, split): - if child2[j] in child2[split:self.__N_CHROMOSOMES]: - c1 = child1[i] - child1[i] = child2[j] - child2[j] = c1 + def __Replace_repeated(self, child): + n = self.__CHRO_MINVALUE + for i in range(0,len(child)-1): + if child[i] in child[i + 1:]: + while (True): + if n not in child: + child[i] = n break - return [child1, child2] + n += 1 + return child """ Generate child main @@ -447,7 +455,7 @@ def __mute_individuals(self, item): index.sort() a = copy.copy(item[index[0]:index[1]]) b = copy.copy(item) - b[index[0]:index[1]] = copy.copy(sample(a, index[1] - index[0])) + b[index[0]:index[1]] = copy.copy(sample(a, len(b[index[0]:index[1]]))) return b """ @@ -631,7 +639,7 @@ def fitnnes(item): """ print s - def start(self,period=500): + def start(self,period=100): self.timer.start(period) def stop(self): diff --git a/gui.ui b/gui.ui index e5abfae..96ca9ae 100644 --- a/gui.ui +++ b/gui.ui @@ -6,8 +6,8 @@ 0 0 - 700 - 494 + 812 + 537 @@ -53,6 +53,31 @@ + + + + + + SELECTION MODE + + + + + + + + FILL + + + + + ROULETTE + + + + + + @@ -134,13 +159,13 @@ - 20 + 10 200 - 20 + 10 @@ -169,6 +194,13 @@ + + + + Init + + + diff --git a/main.py b/main.py index db9e3f5..08da117 100644 --- a/main.py +++ b/main.py @@ -4,7 +4,7 @@ from gui import * from PySide import QtCore,QtGui - +""" ELITISM = 10 MUTE = 2 REVERSE = True @@ -14,32 +14,213 @@ HIGH_LOW = False ITMAX = 1000 TYPECHILD = CHILD_FLIP - +""" pcities=[ - [0, [143, 132]], [1, [171, 51]], [2, [153, 8]], [3, [-124, 66]], [4, [116, -120]], [5, [80, -113]], [6, [167, -5]], [7, [-97, 195]], [8, [58, 101]], [9, [163, -152]], [10, [-61, 90]], [11, [188, 139]], [12, [-12, -162]], [13, [-193, -6]], [14, [83, 145]], [15, [89, 195]], [16, [-84, -144]], [17, [151, -37]], [18, [141, 37]], [19, [107, -51]]] -dist=[[9223372036854775807, 85.70297544426332, 124.4025723206719, 275.0363612324741, 253.44230112591703, 252.9703539942971, 139.08630414242805, 248.13101378102658, 90.47651629014017, 284.70335438838794, 208.2786594925174, 45.5411901469428, 332.3567360532956, 363.23546082396746, 61.39218191268331, 82.97590011563598, 357.3583635512117, 169.1892431568863, 95.02105029939419, 186.50737250843463], -[85.70297544426332, 9223372036854775807, 46.61544808322666, 295.3811097548386, 179.62739212046696, 187.55532517100121, 56.142675390472796, 304.2367499169027, 123.5677951571525, 203.15757431117353, 235.25518060183074, 89.62700485902673, 280.8166661720775, 368.4358831601504, 128.76334882255898, 165.71059109181888, 321.01401838549043, 90.24411338142782, 33.1058907144937, 120.41594578792295], -[124.4025723206719, 46.61544808322666, 9223372036854775807, 283.0070670495703, 133.24038426843418, 141.315250415516, 19.1049731745428, 312.200256245891, 132.94359706281458, 160.31219541881399, 229.17242417009948, 135.5949851580065, 236.90715480964266, 346.2831211595506, 153.8473269186046, 197.6486782146544, 281.55461281960913, 45.044422518220834, 31.38470965295043, 74.81310045707235], -[275.0363612324741, 295.3811097548386, 283.0070670495703, 9223372036854775807, 303.63794229311986, 271.39823138701547, 299.5363083167047, 131.79529581893277, 185.33483212823216, 360.40671469882466, 67.4166151627327, 320.42627857277876, 254.02362094891885, 99.72462083156798, 221.56263222845138, 249.0180716333656, 213.7755832643195, 293.65626163935275, 266.58206991468876, 258.940147524481], -[253.44230112591703, 179.62739212046696, 133.24038426843418, 303.63794229311986, 9223372036854775807, 36.6742416417845, 125.80143083447024, 380.25517747954467, 228.4841351166422, 56.859475903318, 274.6434051638597, 268.8215021161812, 134.7145129523913, 329.3584673270144, 267.0468123756582, 316.1550252645053, 201.43485299222675, 90.07774419910837, 158.97798589741913, 69.58448102845921], -[252.9703539942971, 187.55532517100121, 141.315250415516, 271.39823138701547, 36.6742416417845, 9223372036854775807, 138.68309197591464, 355.2365409132343, 215.1278689523977, 91.706052144883, 247.1639132235934, 274.1678318111007, 104.23531071570709, 293.2200538844504, 258.0174412709342, 308.13146544940844, 166.90416411821485, 104.00480758118829, 161.92899678562824, 67.62396025078685], -[139.08630414242805, 56.142675390472796, 19.1049731745428, 299.5363083167047, 125.80143083447024, 138.68309197591464, 9223372036854775807, 331.20386471175124, 152.04275714416653, 147.05441169852742, 247.0, 145.52319402761884, 238.0966190436143, 360.0013888862097, 171.91858538273283, 214.67184258770408, 286.9181067831028, 35.77708763999664, 49.39635614091387, 75.6042326857432], -[248.13101378102658, 304.2367499169027, 312.200256245891, 131.79529581893277, 380.25517747954467, 355.2365409132343, 331.20386471175124, 9223372036854775807, 181.27603261324978, 433.6000461254588, 111.0, 290.4496514027862, 366.9795634636894, 222.74873737015884, 186.81541692269406, 186.0, 339.24917096435183, 339.599764428658, 285.6711395993652, 319.5809756540586], -[90.47651629014017, 123.5677951571525, 132.94359706281458, 185.33483212823216, 228.4841351166422, 215.1278689523977, 152.04275714416653, 181.27603261324978, 9223372036854775807, 273.9233469421692, 119.50732195141852, 135.4400236266961, 272.1562051469707, 272.8552729928451, 50.60632371551998, 98.97979591815695, 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220.0954338463204, 208.08652046684813, 59.481089431852205, 180.33579788827288, 121.43310915891102, 9223372036854775807]] -GA=None +GA=None +ui=None distance = [ [ 9.22337203685e+18 , 77.0 , 30.0 , 52.0 , 30.0 , 28.0 , 28.0 , 91.0 , 35.0 , 26.0 , 61.0 , 56.0 , 27.0 , 44.0 , 35.0 , 71.0 , 55.0 , 58.0 , 30.0 , 74.0 , 65.0 , 98.0 , 94.0 , 50.0 , 81.0 , 50.0 , 56.0 , 65.0 , 20.0 , 74.0 , 40.0 , 77.0 , 47.0 , 84.0 , 26.0 , 37.0 , 62.0 , 91.0 , 63.0 , 43.0 , 82.0 , 46.0 , 32.0 , 34.0 , 49.0 , 47.0 , 54.0 , 32.0 , 81.0 , 85.0 , 36.0 , 59.0 , 71.0 , 33.0 , 38.0 , 74.0 , 72.0 , 93.0 , 58.0 , 81.0 , 63.0 , 23.0 , 80.0 , 24.0 , 69.0 , 35.0 , 40.0 , 81.0 , 77.0 , 83.0 , 81.0 , 38.0 , 58.0 , 71.0 , 51.0 , 60.0 , 99.0 , 33.0 , 99.0 , 54.0 , 77.0 , 98.0 , 32.0 , 48.0 , 37.0 , 79.0 , 54.0 , 99.0 , 65.0 , 94.0 , 50.0 , 32.0 , 23.0 , 21.0 , 23.0 , 51.0 , 26.0 , 84.0 , 60.0 , 22.0 ], [ 77.0 , 9.22337203685e+18 , 41.0 , 39.0 , 82.0 , 64.0 , 72.0 , 99.0 , 89.0 , 28.0 , 40.0 , 64.0 , 72.0 , 86.0 , 86.0 , 82.0 , 94.0 , 33.0 , 64.0 , 42.0 , 49.0 , 23.0 , 34.0 , 57.0 , 68.0 , 30.0 , 33.0 , 63.0 , 43.0 , 51.0 , 22.0 , 96.0 , 34.0 , 55.0 , 82.0 , 74.0 , 47.0 , 72.0 , 77.0 , 90.0 , 33.0 , 28.0 , 41.0 , 20.0 , 56.0 , 32.0 , 79.0 , 95.0 , 93.0 , 75.0 , 54.0 , 89.0 , 33.0 , 62.0 , 29.0 , 41.0 , 78.0 , 73.0 , 38.0 , 64.0 , 91.0 , 76.0 , 82.0 , 59.0 , 95.0 , 29.0 , 62.0 , 50.0 , 25.0 , 86.0 , 46.0 , 47.0 , 88.0 , 44.0 , 29.0 , 46.0 , 98.0 , 70.0 , 57.0 , 48.0 , 83.0 , 32.0 , 49.0 , 27.0 , 67.0 , 53.0 , 65.0 , 69.0 , 92.0 , 53.0 , 97.0 , 38.0 , 82.0 , 96.0 , 68.0 , 90.0 , 57.0 , 93.0 , 32.0 , 69.0 ], [ 30.0 , 41.0 , 9.22337203685e+18 , 22.0 , 37.0 , 32.0 , 39.0 , 22.0 , 83.0 , 41.0 , 92.0 , 77.0 , 88.0 , 46.0 , 55.0 , 28.0 , 23.0 , 56.0 , 21.0 , 60.0 , 97.0 , 86.0 , 74.0 , 84.0 , 36.0 , 32.0 , 45.0 , 53.0 , 51.0 , 87.0 , 85.0 , 29.0 , 76.0 , 93.0 , 30.0 , 81.0 , 30.0 , 33.0 , 41.0 , 75.0 , 46.0 , 53.0 , 67.0 , 37.0 , 100.0 , 68.0 , 51.0 , 57.0 , 75.0 , 77.0 , 78.0 , 51.0 , 95.0 , 40.0 , 35.0 , 49.0 , 52.0 , 55.0 , 65.0 , 48.0 , 95.0 , 74.0 , 79.0 , 46.0 , 55.0 , 36.0 , 88.0 , 37.0 , 96.0 , 54.0 , 52.0 , 31.0 , 91.0 , 87.0 , 67.0 , 59.0 , 40.0 , 93.0 , 37.0 , 83.0 , 75.0 , 27.0 , 54.0 , 85.0 , 26.0 , 47.0 , 22.0 , 65.0 , 32.0 , 96.0 , 79.0 , 75.0 , 63.0 , 33.0 , 53.0 , 57.0 , 99.0 , 56.0 , 26.0 , 81.0 ], @@ -142,12 +323,12 @@ [ 22.0 , 69.0 , 81.0 , 79.0 , 57.0 , 30.0 , 27.0 , 34.0 , 62.0 , 65.0 , 29.0 , 29.0 , 49.0 , 53.0 , 58.0 , 40.0 , 44.0 , 67.0 , 65.0 , 24.0 , 95.0 , 36.0 , 48.0 , 92.0 , 29.0 , 55.0 , 48.0 , 63.0 , 70.0 , 53.0 , 100.0 , 90.0 , 100.0 , 49.0 , 34.0 , 97.0 , 48.0 , 46.0 , 97.0 , 89.0 , 71.0 , 86.0 , 89.0 , 22.0 , 63.0 , 70.0 , 65.0 , 34.0 , 74.0 , 49.0 , 99.0 , 32.0 , 34.0 , 78.0 , 77.0 , 41.0 , 95.0 , 53.0 , 21.0 , 74.0 , 96.0 , 55.0 , 52.0 , 23.0 , 57.0 , 42.0 , 85.0 , 68.0 , 38.0 , 23.0 , 25.0 , 95.0 , 72.0 , 92.0 , 52.0 , 79.0 , 90.0 , 99.0 , 98.0 , 75.0 , 57.0 , 95.0 , 65.0 , 92.0 , 21.0 , 70.0 , 98.0 , 73.0 , 37.0 , 97.0 , 61.0 , 52.0 , 29.0 , 39.0 , 75.0 , 72.0 , 40.0 , 33.0 , 57.0 , 9.22337203685e+18 ]]#100x100 distance = dist timer=None - +scenev=None def fitnnes(item): dist = 0 cityant = item[0] - for cityact in item[1:N_CHROMOSOMES]: + for cityact in item[1:ui.cities.value()]: dist = dist + distance[cityant][cityact] cityant = cityact dist = dist + distance[cityant][item[0]] @@ -155,51 +336,78 @@ def fitnnes(item): @QtCore.Slot() def update_view(): - winneract__ = GA.Winner_Probability() - if winneract__[0] is not update_view.winneract: update_view.winnerant = update_view.winneract update_view.winneract = winneract__[0] - scene.Clear() - scene.RePaint() - scene.set_text(str(winneract__[1]) + " km", -400, -170) - scene.Paint_road(update_view.winneract, RED, 3) + scenev.Clear() + scenev.RePaint() + scenev.set_text(str(winneract__[1]) + " km", -400, -170) + scenev.Paint_road(update_view.winneract, RED, 3) if update_view.winnerant is not None: - scene.Paint_road(update_view.winnerant, BLACK) + scenev.Paint_road(update_view.winnerant, BLACK) update_view.winnerant = None update_view.winneract = None +def get_child_mode(): + mode= ui.child_mode.currentIndex() + if mode is 0: + return CHILD_FLIP + elif mode is 1: + return CHILD_SPLIT + elif mode is 2: + return CHILD_FLIP2 + + elif mode is 3: + return CHILD_MEAN + +def get_selection_mode(): + mode= ui.selection_mode.currentIndex(); + if mode is 0: + return FILL_NEXT_GENERATION + elif mode is 1: + return ROULETTE + +def get_high_low(): + return ui.high_low.checkState() is QtCore.Qt.CheckState.Checked + +@QtCore.Slot() def start(): GA.start(100) timer.start(100) + +@QtCore.Slot() def stop(): GA.stop() timer.stop() +@QtCore.Slot() +def init(): + chro = chromosome_t(ui.cities.value()) + scenev.set_listCities(pcities[:ui.cities.value()]) + scenev.RePaint() + f = fitnnes + try: + GA.setattrGeneticAlgorithm(f, chro, selection_type=get_selection_mode(), + High_Low=get_high_low(), size_pool=ui.size_pool.value(), child_type=get_child_mode(), + porcent_elitism=ui.elitism.value(), porcent_mute=ui.mute.value()) + except GenecticException: + print GenecticException.what if __name__ == "__main__": + GA = GeneticAlgorithm() app = QtGui.QApplication(sys.argv) Dialog = QtGui.QDialog() ui = Ui_Dialog() ui.setupUi(Dialog) - Dialog.show() - - chro = chromosome_t(N_CHROMOSOMES) - scene = SCENE() - scene.set_listCities(pcities) - scene.RePaint() - ui.graphicsView.setScene(scene) + Dialog.showMaximized() + scenev = SCENE() + ui.graphicsView.setScene(scenev) ui.start.clicked.connect(start) ui.stop.clicked.connect(stop) - f = fitnnes - try: - GA = GeneticAlgorithm(f, chro, itmax = ITMAX, selection_type = SELECTION_TYPE, - High_Low = HIGH_LOW, size_pool = SIZE_PULL, child_type = TYPECHILD, porcent_elitism = ELITISM, porcent_mute = MUTE) - timer = QtCore.QTimer() - QtCore.QTimer.connect(timer, QtCore.SIGNAL("timeout()"), update_view) + ui.init.clicked.connect(init) - except GenecticException: - print GenecticException.what + timer = QtCore.QTimer() + QtCore.QTimer.connect(timer, QtCore.SIGNAL("timeout()"), update_view) sys.exit(app.exec_()) From 43bb08b2df82aef9dd5459347c3978854a757bd3 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 11 Dec 2016 14:46:08 +0100 Subject: [PATCH 15/47] update version GUI --- Genetic_Algorithm.py | 376 +++++++++++------------------- gui.ui | 7 + main.py | 528 +++++++++++++++++-------------------------- scene.py | 2 + 4 files changed, 350 insertions(+), 563 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index aa85754..7985849 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -153,25 +153,28 @@ def fitnnes(item): """ def __init__(self): - self.__ELITISM = None - self.__MUTE = None - self.__REVERSE = None - self.__SELECTION_TYPE = None - self.__SIZE_POOL = None - self.__N_CHROMOSOMES = None - self.__FUN_FITNESS = None - self.__ITMAX = None - self.__TYPECHILD = None - self.__rangechild = None - self.__sizeelitism = None - self.__CHRO_IS_F = None - self.__CHRO_MAXVALUE = None - self.__CHRO_MINVALUE = None - self.__CAN_REPETEAD_CHRO = None - self.__POOL = None - self.__TEST_POOL = None - self.timer = QtCore.QTimer() - self.timer.timeout.connect(self.__run) + try: + self.__ELITISM = None + self.__MUTE = None + self.__REVERSE = None + self.__SELECTION_TYPE = None + self.__SIZE_POOL = None + self.__N_CHROMOSOMES = None + self.__FUN_FITNESS = None + self.__ITMAX = None + self.__TYPECHILD = None + self.__rangechild = None + self.__sizeelitism = None + self.__CHRO_IS_F = None + self.__CHRO_MAXVALUE = None + self.__CHRO_MINVALUE = None + self.__CAN_REPETEAD_CHRO = None + self.__POOL = None + self.__TEST_POOL = None + self.timer = QtCore.QTimer() + self.timer.timeout.connect(self.__run) + except: + raise def setattrGeneticAlgorithm(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP, selection_type = FILL_NEXT_GENERATION, High_Low = False, size_pool = 1000, porcent_elitism = 10, porcent_mute = 2, can_repeated_chro = False, testing = False): @@ -191,28 +194,35 @@ def setattrGeneticAlgorithm(self, fun_fitness, chromosomes, itmax = 50, child_ty a = GenecticException a.what = "Error: High_Low must be True or False", "Error: fun_fitness is None" raise a - self.__ELITISM = porcent_elitism / 100.0 - self.__MUTE = porcent_mute - self.__REVERSE = High_Low - self.__SELECTION_TYPE = selection_type - self.__SIZE_POOL = size_pool - self.__N_CHROMOSOMES = chromosomes.N_CHRO - self.__FUN_FITNESS = fun_fitness - self.__ITMAX = itmax - self.__TYPECHILD = child_type - self.__rangechild = (int)(self.__SIZE_POOL - self.__SIZE_POOL * self.__ELITISM) - self.__sizeelitism = (int)(self.__SIZE_POOL * self.__ELITISM) - self.__CHRO_IS_F = chromosomes.CHRO_IS_F - self.__CHRO_MAXVALUE = chromosomes.MAXVALUE - self.__CHRO_MINVALUE = chromosomes.MINVALUE - self.__CAN_REPETEAD_CHRO = can_repeated_chro - self.__POOL = self.__Generate_pool() - self.__TEST_POOL = testing - """ - Function that generate a pool - """ + if chromosomes.CHRO_IS_F is can_repeated_chro and can_repeated_chro is not False: + a = GenecticException + a.what = "Error: If var 'chromosomes.CHRO_IS_F' is true 'can_repeated_chro' must be true" + raise a + try: + self.__ELITISM = porcent_elitism / 100.0 + self.__MUTE = porcent_mute + self.__REVERSE = High_Low + self.__SELECTION_TYPE = selection_type + self.__SIZE_POOL = size_pool + self.__N_CHROMOSOMES = chromosomes.N_CHRO + self.__FUN_FITNESS = fun_fitness + self.__ITMAX = itmax + self.__TYPECHILD = child_type + self.__rangechild = (int)(self.__SIZE_POOL - self.__SIZE_POOL * self.__ELITISM) + self.__sizeelitism = (int)(self.__SIZE_POOL * self.__ELITISM) + self.__CHRO_IS_F = chromosomes.CHRO_IS_F + self.__CHRO_MAXVALUE = chromosomes.MAXVALUE + self.__CHRO_MINVALUE = chromosomes.MINVALUE + self.__CAN_REPETEAD_CHRO = can_repeated_chro + self.__POOL = self.__Generate_pool() + self.__TEST_POOL = testing + except: + raise def __Generate_pool(self): + """ + Function that generate a pool + """ if self.__CHRO_IS_F is False: if self.__CAN_REPETEAD_CHRO is False: ind = range(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) @@ -226,47 +236,42 @@ def __Generate_pool(self): in range(self.__SIZE_POOL)] return new_pool - """ - Function that returns a key to sort pool - """ - def __getKey(self, item): + """ + Function that returns a key to sort pool + """ return item[1] - """ - Function that returns a individuos i - """ - def __Get_Individuos(self, individual): + """ + Function that returns a individuos i + """ if individual not in range(0, self.__SIZE_POOL): a = GenecticException a.what = "Error: individual", individual, " not existing, 0 < = individual < " + str(self.__SIZE_POOL) raise a return copy.copy(self.__POOL[individual][0]) - """ - Function that set the Fittnes to sort pool - """ - def __Set_Fittnes(self, individual, Fittnes): + """ + Function that set the Fittnes to sort pool + """ if individual not in range(0, self.__SIZE_POOL): a = GenecticException a.what = "Error: individual", individual, " not existing, 0 < = individual < " + str(self.__SIZE_POOL) raise a self.__POOL[individual][1] = Fittnes - """ - Function that sort pool if rever is True sort of highest to lowest else lowest to highest - """ - def __sort_pool(self, rever = False): + """ + Function that sort pool if rever is True sort of highest to lowest else lowest to highest + """ self.__POOL.sort(key = self.__getKey, reverse = rever) - """ - Generate a child by flip method - """ - def __Generate_Child_flip(self, item): + """ + Generate a child by flip method + """ child = copy.copy(item) index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] index.sort() @@ -274,11 +279,10 @@ def __Generate_Child_flip(self, item): child[index[0]:index[1]] = revert[::-1] return child - """ - Generate two sons by flip method, after that it returns the best between Father and the two sons. - """ - def __Generate_Child_tournament_Det(self, item): + """ + Generate two sons by flip method, after that it returns the best between Father and the two sons. + """ child = copy.copy(item) index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] index.sort() @@ -294,11 +298,10 @@ def __Generate_Child_tournament_Det(self, item): listIndividual = [item, child, child2] return self.__Tournament_Selection_Deterministic(listIndividual) - """ - Generate two sons by split method - """ - def __Generate_Child_split(self, item1, item2): + """ + Generate two sons by split method + """ child1 = copy.copy(item1) child2 = copy.copy(item2) split = randint(1, self.__N_CHROMOSOMES - 1) @@ -309,11 +312,10 @@ def __Generate_Child_split(self, item1, item2): else: return [child1,child2] - """ - Generate a child by mean method - """ - def __Generate_Child_Mean(self, item1, item2): + """ + Generate a child by mean method + """ child = copy.copy(item1) if self.__CHRO_IS_F is True: for i in range(self.__N_CHROMOSOMES): @@ -326,11 +328,10 @@ def __Generate_Child_Mean(self, item1, item2): self.__Replace_repeated(child) return child - """ - Function that replace the chromosomes repeated - """ - def __Replace_repeated(self, child): + """ + Function that replace the chromosomes repeated + """ n = self.__CHRO_MINVALUE for i in range(0,len(child)-1): if child[i] in child[i + 1:]: @@ -341,11 +342,10 @@ def __Replace_repeated(self, child): n += 1 return child - """ - Generate child main - """ - def __Generate_Child(self, item1, item2 = None): + """ + Generate child main + """ if self.__TYPECHILD is CHILD_FLIP: return self.__Generate_Child_flip(item1) elif self.__TYPECHILD is CHILD_FLIP2: @@ -355,11 +355,10 @@ def __Generate_Child(self, item1, item2 = None): elif self.__TYPECHILD is CHILD_MEAN: return self.__Generate_Child_Mean(item1, item2) - """ - Function that fill the pool - """ - def __Fill_Next_Generation(self): + """ + Function that fill the pool + """ new_pull = copy.copy(self.__POOL) if self.__TYPECHILD in [CHILD_FLIP, CHILD_FLIP2, CHILD_MEAN]: for i in (range(0, self.__rangechild)): @@ -378,29 +377,25 @@ def __Fill_Next_Generation(self): new_pull[dest+j][0] = copy.copy(childs[j]) return new_pull - """ - Function that select the best item from a list of items for tournament selection. - """ - def __Tournament_Selection_Deterministic(self, listItems): - + """ + Function that select the best item from a list of items for tournament selection. + """ dict = {} for i in range(0, len(listItems)): dict[i] = self.__FUN_FITNESS(listItems[i]) return listItems[sorted(dict, reverse = True)[0]] - """ - Function that select the best item from a list of items for tournament selection. - """ - def __Tournament_Selection_Probabilistic(self, listItems): + """ + Function that select the best item from a list of items for tournament selection. + """ return listItems[randint(0, len(listItems) - 1)] - """ - Function that selct the individuos to fill next pool - """ - def __Roulette(self): + """ + Function that selct the individuos to fill next pool + """ new_pool = copy.copy(self.__POOL) for i in (range(1, self.__SIZE_POOL)): self.__POOL[i][1] = self.__POOL[i][1] + self.__POOL[i - 1][1] @@ -436,21 +431,19 @@ def __Roulette(self): new_pool[dest+j][0] = copy.copy(childs[j]) return new_pool - """ - Function main for fill next pool, this call the different forms the generate next pool - """ - def __Next_Generation(self): + """ + Function main for fill next pool, this call the different forms the generate next pool + """ if self.__SELECTION_TYPE is FILL_NEXT_GENERATION: self.__Fill_Next_Generation() elif self.__SELECTION_TYPE is ROULETTE: self.__Roulette() - """ - Function that mute a individuos - """ - def __mute_individuals(self, item): + """ + Function that mute a individuos + """ index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] index.sort() a = copy.copy(item[index[0]:index[1]]) @@ -458,54 +451,56 @@ def __mute_individuals(self, item): b[index[0]:index[1]] = copy.copy(sample(a, len(b[index[0]:index[1]]))) return b - """ - def __mute_individuals_simple(self, item): - return sample(item, self.__N_CHROMOSOMES) - """ - - """ - Asign a predefined pool and activate testing mode - """ + @QtCore.Slot() + def __run(self): + for i in range(self.__SIZE_POOL): + item = self.__Get_Individuos(i) + self.__Set_Fittnes(i, self.__FUN_FITNESS(item)) + self.__sort_pool(self.__REVERSE) + print "\rThe winer is: ", self.Winner_Probability()[1], + self.__Next_Generation() def set_pool(self, pool): + """ + Asign a predefined pool and activate testing mode + """ + if self.__N_CHROMOSOMES is not len(pool[0][0]): + a = GenecticException + a.what = "Error: the size of the individuos of pool is not correct." + raise a self.__TEST_POOL = True self.__POOL = copy.copy(pool) - """ - Get a empty pool - """ - def get_empty_pool(self): + """ + Get a empty pool + """ pool = [[[0 for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] return pool - """ - Get the pool - """ - def get_pool(self): + """ + Get the pool + """ return copy.copy(self.__POOL) - """ - Print the individuals of the pool - """ def print_individuals(self): + """ + Print the individuals of the pool + """ for i in range(0, self.__SIZE_POOL): - print self.__POOL[i][:], "," - - """ - Return the win individual - """ + print self.__POOL[i][:] def Winner_Probability(self): + """ + Return the win individual + """ return self.__POOL[0][:] - """ - Function main that run the algorithm - """ - - def run(self, print_best=0): + """ + Function main that run the algorithm + """ for x in range(self.__ITMAX): for i in range(self.__SIZE_POOL): item = self.__Get_Individuos(i) @@ -524,121 +519,6 @@ def run(self, print_best=0): print "\rThe winer is: ", self.Winner_Probability() - @QtCore.Slot() - def __run(self): - for i in range(self.__SIZE_POOL): - item = self.__Get_Individuos(i) - self.__Set_Fittnes(i, self.__FUN_FITNESS(item)) - self.__sort_pool(self.__REVERSE) - print "\rThe winer is: ", self.Winner_Probability()[1], - self.__Next_Generation() - - def help(self): - s = """GeneticAlgorithm - The structure of a tuple of the PULL is: - [individual, FITNNES, PROBABILITY FOR THE ROULETTE] - - The structure of a individual is: - [value,value,value,...,value] It has as many values as chromosomes. - - Ways to Generate Children: - - CHILD_FLIP - father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] - [ father ] - child [1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] - [ r_father ] - CHILD_SPLIT - father1[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] - [ father1_1 ][ father1_2 ] - father1[5, 4, 8, 6, 3, 2, 8, 6, 5, 7, 9, 3, 7] - [ father2_1 ][ father2_2 ] - child1 [1, 6, 7, 2, 6, 8, 8, 6, 5, 7, 9, 3, 7] - [ father1_1 ][ father2_2 ] - child2 [5, 4, 8, 6, 3, 2, 2, 1, 5, 6, 3, 8, 7] - [ father2_1 ][ father1_2 ] - - CHILD_FLIP2 - father[1, 6, 7, 2, 6, 8, 2, 1, 5, 6, 3, 8, 7] - [ father_1 ][ father_2 ][ father_3 ] - child1[1, 6, 7, 2, 5, 1, 2, 8, 6 ,6 ,3, 8, 7] - [ father_1 ][ r_father_2 ][ father_3 ] - child2[2, 7, 6, 1, 6, 8, 2, 1, 5, 7, 8, 3, 6] - [r_father_1][ father_2 ][r_father_3] - return the best [father, child1, child2] - - CHILD_MEAN and chromosomes_is_float = True - father1 [1, 5, 7, 6] - father2 [3, 8, 1, 3] - child [2, 6.5, 4, 4.5] child[i] = (father1[i]+father2[i])/2 - - CHILD_MEAN and chromosomes_is_float = False - father1 [1, 5, 7, 6] - father2 [3, 8, 1, 3] - child [2, 6, 4, 4] child[i] = floor((father1[i]+father2[i])/2) - - Example: - This is the typical travelling salesman problem (TSP) in this case there are 20 cities. - -from Genetic_Algorithm import * - - -ELITISM = 10 -MUTE = 2 -REVERSE = True -SELECTION_TYPE = FILL_NEXT_GENERATION -SIZE_PULL = 1000 -N_CHROMOSOMES = 20 -HIGH_LOW = False -ITMAX = 100 -TYPECHILD = CHILD_FLIP -distance = [[9.22337203685e+18, 77.0, 30.0, 52.0, 30.0, 28.0, 28.0, 91.0, 35.0, 26.0, 61.0, 56.0, 27.0, 44.0, 35.0, 71.0, 55.0, 58.0, 30.0, 74.0] , - [77.0, 9.22337203685e+18, 41.0, 39.0, 82.0, 64.0, 72.0, 99.0, 89.0, 28.0, 40.0, 64.0, 72.0, 86.0, 86.0, 82.0, 94.0, 33.0, 64.0, 42.0] , - [30.0, 41.0, 9.22337203685e+18, 22.0, 37.0, 32.0, 39.0, 22.0, 83.0, 41.0, 92.0, 77.0, 88.0, 46.0, 55.0, 28.0, 23.0, 56.0, 21.0, 60.0] , - [52.0, 39.0, 22.0, 9.22337203685e+18, 49.0, 55.0, 90.0, 94.0, 24.0, 22.0, 74.0, 26.0, 72.0, 26.0, 36.0, 93.0, 61.0, 98.0, 69.0, 49.0] , - [30.0, 82.0, 37.0, 49.0, 9.22337203685e+18, 30.0, 61.0, 55.0, 65.0, 26.0, 23.0, 73.0, 77.0, 99.0, 35.0, 82.0, 41.0, 90.0, 93.0, 60.0] , - [28.0, 64.0, 32.0, 55.0, 30.0, 9.22337203685e+18, 42.0, 83.0, 39.0, 36.0, 24.0, 95.0, 55.0, 98.0, 20.0, 58.0, 92.0, 95.0, 91.0, 30.0] , - [28.0, 72.0, 39.0, 90.0, 61.0, 42.0, 9.22337203685e+18, 61.0, 54.0, 28.0, 91.0, 77.0, 55.0, 62.0, 96.0, 31.0, 23.0, 91.0, 49.0, 100.0] , - [91.0, 99.0, 22.0, 94.0, 55.0, 83.0, 61.0, 9.22337203685e+18, 43.0, 100.0, 46.0, 65.0, 90.0, 60.0, 63.0, 80.0, 69.0, 39.0, 60.0, 62.0] , - [35.0, 89.0, 83.0, 24.0, 65.0, 39.0, 54.0, 43.0, 9.22337203685e+18, 31.0, 97.0, 56.0, 93.0, 94.0, 39.0, 33.0, 32.0, 46.0, 94.0, 92.0] , - [26.0, 28.0, 41.0, 22.0, 26.0, 36.0, 28.0, 100.0, 31.0, 9.22337203685e+18, 70.0, 81.0, 22.0, 43.0, 21.0, 72.0, 99.0, 70.0, 38.0, 98.0] , - [61.0, 40.0, 92.0, 74.0, 23.0, 24.0, 91.0, 46.0, 97.0, 70.0, 9.22337203685e+18, 73.0, 69.0, 59.0, 71.0, 64.0, 78.0, 66.0, 42.0, 80.0] , - [56.0, 64.0, 77.0, 26.0, 73.0, 95.0, 77.0, 65.0, 56.0, 81.0, 73.0, 9.22337203685e+18, 73.0, 28.0, 36.0, 91.0, 64.0, 68.0, 30.0, 26.0] , - [27.0, 72.0, 88.0, 72.0, 77.0, 55.0, 55.0, 90.0, 93.0, 22.0, 69.0, 73.0, 9.22337203685e+18, 79.0, 73.0, 43.0, 87.0, 65.0, 30.0, 27.0] , - [44.0, 86.0, 46.0, 26.0, 99.0, 98.0, 62.0, 60.0, 94.0, 43.0, 59.0, 28.0, 79.0, 9.22337203685e+18, 88.0, 40.0, 39.0, 68.0, 31.0, 70.0] , - [35.0, 86.0, 55.0, 36.0, 35.0, 20.0, 96.0, 63.0, 39.0, 21.0, 71.0, 36.0, 73.0, 88.0, 9.22337203685e+18, 54.0, 58.0, 50.0, 29.0, 63.0] , - [71.0, 82.0, 28.0, 93.0, 82.0, 58.0, 31.0, 80.0, 33.0, 72.0, 64.0, 91.0, 43.0, 40.0, 54.0, 9.22337203685e+18, 39.0, 84.0, 49.0, 25.0] , - [55.0, 94.0, 23.0, 61.0, 41.0, 92.0, 23.0, 69.0, 32.0, 99.0, 78.0, 64.0, 87.0, 39.0, 58.0, 39.0, 9.22337203685e+18, 68.0, 63.0, 60.0] , - [58.0, 33.0, 56.0, 98.0, 90.0, 95.0, 91.0, 39.0, 46.0, 70.0, 66.0, 68.0, 65.0, 68.0, 50.0, 84.0, 68.0, 9.22337203685e+18, 79.0, 87.0] , - [30.0, 64.0, 21.0, 69.0, 93.0, 91.0, 49.0, 60.0, 94.0, 38.0, 42.0, 30.0, 30.0, 31.0, 29.0, 49.0, 63.0, 79.0, 9.22337203685e+18, 26.0] , - [74.0, 42.0, 60.0, 49.0, 60.0, 30.0, 100.0, 62.0, 92.0, 98.0, 80.0, 26.0, 27.0, 70.0, 63.0, 25.0, 60.0, 87.0, 26.0, 9.22337203685e+18]] -def fitnnes(item): - dist = 0 - cityant = item[0] - for cityact in item[1:N_CHROMOSOMES]: - dist = dist + distance[cityant][cityact] - cityant = cityact - dist = dist + distance[cityant][item[0]] - return dist - -if __name__ == "__main__": - print "[" - for x in distance: - print x[:20], "," - print "]" - f = fitnnes - chro = chromosome_t(N_CHROMOSOMES) - try: - GA = GeneticAlgorithm(f, chro, itmax = ITMAX, selection_type = SELECTION_TYPE, - High_Low = HIGH_LOW, size_pool = SIZE_PULL, child_type = TYPECHILD, porcent_elitism = ELITISM, porcent_mute = MUTE) - GA.run() - except GenecticException: - print GenecticException.what - - - """ - print s - def start(self,period=100): self.timer.start(period) diff --git a/gui.ui b/gui.ui index 96ca9ae..6fdc868 100644 --- a/gui.ui +++ b/gui.ui @@ -182,6 +182,13 @@ + + + + TextLabel + + + diff --git a/main.py b/main.py index 08da117..6d3cd98 100644 --- a/main.py +++ b/main.py @@ -4,324 +4,212 @@ from gui import * from PySide import QtCore,QtGui -""" -ELITISM = 10 -MUTE = 2 -REVERSE = True -SELECTION_TYPE = FILL_NEXT_GENERATION -SIZE_PULL = 1000 -N_CHROMOSOMES = 20 -HIGH_LOW = False -ITMAX = 1000 -TYPECHILD = CHILD_FLIP -""" -pcities=[ - [0, [-132, -81]], [1, [-66, 114]], [2, [43, 102]], [3, [-100, -146]], [4, [-193, -157]], [5, [-46, -129]], [6, [-52, 71]], [7, [-36, -116]], [8, [167, 124]], [9, [98, -132]], [10, [146, -85]], [11, [-50, -193]], [12, [-186, -39]], [13, [107, 13]], [14, [124, 72]], [15, [147, -136]], [16, [126, -68]], [17, [-94, 145]], [18, [78, -88]], [19, [44, 54]], [20, [-196, 10]], [21, [-161, 140]], [22, [-10, -85]], [23, [-99, 123]], [24, [-173, -179]], [25, [-186, -66]], [26, [166, -104]], [27, [-63, -175]], [28, [-71, -140]], [29, [-87, 134]], [30, [147, -34]], [31, [161, -33]], [32, [179, -169]], [33, [-104, 1]], [34, [-46, -35]], [35, [123, -174]], [36, [58, -124]], [37, [21, 161]], [38, [-170, 132]], [39, [126, 91]], [40, [-114, 197]], [41, [64, 0]], [42, [-101, 58]], [43, [-111, -73]], [44, [-92, 79]], [45, [-200, -95]], [46, [-178, -188]], [47, [49, 39]], [48, [50, 136]], [49, [156, 18]], [50, [-102, 103]], [51, [-15, -196]], [52, [97, 62]], [53, [-82, -57]], [54, [-86, -145]], [55, [-34, -102]], [56, [173, 97]], [57, [-36, -13]], [58, [189, 99]], [59, [171, 15]], [60, [70, -176]], [61, [-1, -197]], [62, [-114, 152]], [63, [42, -188]], [64, [-159, -133]], [65, [155, 2]], [66, [98, 67]], [67, [73, -2]], [68, [197, -100]], [69, [18, 58]], [70, [103, -80]], [71, [-178, -65]], [72, [-120, -24]], [73, [32, 152]], [74, [-78, -100]], [75, [84, -55]], [76, [194, 25]], [77, [97, -11]], [78, [-14, -148]], [79, [-34, 111]], [80, [21, 19]], [81, [-166, -200]], [82, [-116, -166]], [83, [160, -22]], [84, [-197, -58]], [85, [109, 82]], [86, [-113, 120]], [87, [-31, 197]], [88, [197, 173]], [89, [-94, 64]], [90, [-195, 74]], [91, [-70, 37]], [92, [-131, -200]], [93, [-181, 192]], [94, [-49, -36]], [95, [66, -65]], [96, [19, 199]], [97, [-30, 93]], [98, [-17, 98]], [99, [80, 14]], [100, [121, 42]], [101, [109, 53]], [102, [-197, 95]], [103, [-144, 63]], [104, [111, 113]], [105, [-78, 121]], [106, [50, 48]], [107, [-100, 134]], [108, [60, 187]], [109, [-117, -7]], [110, [-36, -29]], [111, [169, 198]], [112, [14, -43]], [113, [-109, -50]], [114, [2, 139]], [115, [-47, -63]], [116, [12, -74]], [117, [-35, -74]], [118, [54, 136]], [119, [185, -18]], [120, [135, 27]], [121, [-178, -145]], [122, [64, 186]], [123, [178, 100]], [124, [9, 191]], [125, [59, 144]], [126, [-2, 91]], [127, [30, -36]], [128, [-94, -173]], [129, [-61, -2]], [130, [-193, 79]], [131, [-143, -185]], [132, [136, -17]], [133, [200, 176]], [134, [83, 79]], [135, [82, 72]], [136, [-113, -132]], [137, [-142, 46]], [138, [152, 90]], [139, [-102, -71]], [140, [-11, 28]], [141, [-153, -115]], [142, [128, 132]], [143, [-52, -53]], [144, [117, 33]], [145, [-155, 199]], [146, [163, -134]], [147, [88, -178]], [148, [-33, 138]], [149, [69, -32]], [150, [58, 14]], [151, [108, 106]], [152, [192, 136]], [153, [80, -138]], [154, [-37, -120]], [155, [15, 171]], [156, [-85, 120]], [157, [-89, -93]], [158, [178, 79]], [159, [194, 190]], [160, [80, 143]], [161, [12, -90]], [162, [-115, 37]], [163, [-126, -94]], [164, [-59, -127]], [165, [26, -13]], [166, [-191, 174]], [167, [-19, -200]], [168, [-47, -38]], [169, [-58, 107]], [170, [-192, 200]], [171, [-9, -67]], [172, [-3, -167]], [173, [177, 106]], [174, [-37, 96]], [175, [184, -178]], [176, [-24, 80]], [177, [100, 144]], [178, [-55, 122]], [179, [153, 94]], [180, [-107, -96]], [181, [91, -173]], [182, [109, -18]], [183, [-50, -50]], [184, [-66, 149]], [185, [186, -121]], [186, [-53, -86]], [187, [113, -81]], [188, [121, 154]], [189, [119, 63]], [190, [-176, -137]], [191, [81, 92]], [192, [-56, 164]], [193, [-111, -2]], [194, [-91, -98]], [195, [42, -87]], [196, [31, 138]], [197, [-97, -53]], [198, [83, 50]], [199, [-22, 111]]] -dist=[[9223372036854775807, 205.86646157157313, 253.20742485164214, 72.44998274671983, 97.45255255764212, 98.48857801796105, 171.7672844286711, 102.18121158021175, 362.52724035581105, 235.58650216003463, 278.0287754891569, 138.80922159568507, 68.41052550594829, 256.8209493012593, 298.23648334836565, 284.36947796836427, 258.3273117577776, 229.17242417009948, 210.11663427725088, 221.812984290821, 111.25196627475849, 222.89459392277777, 122.06555615733703, 206.65188119153427, 106.23088063270491, 56.04462507680822, 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64.0 , 20.0 , 89.0 , 27.0 , 63.0 , 9.22337203685e+18 , 57.0 ], -[ 22.0 , 69.0 , 81.0 , 79.0 , 57.0 , 30.0 , 27.0 , 34.0 , 62.0 , 65.0 , 29.0 , 29.0 , 49.0 , 53.0 , 58.0 , 40.0 , 44.0 , 67.0 , 65.0 , 24.0 , 95.0 , 36.0 , 48.0 , 92.0 , 29.0 , 55.0 , 48.0 , 63.0 , 70.0 , 53.0 , 100.0 , 90.0 , 100.0 , 49.0 , 34.0 , 97.0 , 48.0 , 46.0 , 97.0 , 89.0 , 71.0 , 86.0 , 89.0 , 22.0 , 63.0 , 70.0 , 65.0 , 34.0 , 74.0 , 49.0 , 99.0 , 32.0 , 34.0 , 78.0 , 77.0 , 41.0 , 95.0 , 53.0 , 21.0 , 74.0 , 96.0 , 55.0 , 52.0 , 23.0 , 57.0 , 42.0 , 85.0 , 68.0 , 38.0 , 23.0 , 25.0 , 95.0 , 72.0 , 92.0 , 52.0 , 79.0 , 90.0 , 99.0 , 98.0 , 75.0 , 57.0 , 95.0 , 65.0 , 92.0 , 21.0 , 70.0 , 98.0 , 73.0 , 37.0 , 97.0 , 61.0 , 52.0 , 29.0 , 39.0 , 75.0 , 72.0 , 40.0 , 33.0 , 57.0 , 9.22337203685e+18 ]]#100x100 -distance = dist timer=None scenev=None @@ -342,7 +230,7 @@ def update_view(): update_view.winneract = winneract__[0] scenev.Clear() scenev.RePaint() - scenev.set_text(str(winneract__[1]) + " km", -400, -170) + ui.dist.setText(str(winneract__[1]) + " km") scenev.Paint_road(update_view.winneract, RED, 3) if update_view.winnerant is not None: scenev.Paint_road(update_view.winnerant, BLACK) @@ -385,7 +273,15 @@ def stop(): def init(): chro = chromosome_t(ui.cities.value()) scenev.set_listCities(pcities[:ui.cities.value()]) + scenev.Clear() scenev.RePaint() + scale=[ui.graphicsView.width()/scenev.width()-0.01,ui.graphicsView.height()/scenev.height()-0.01] + scale.sort() + if scale[0] != init.scaleant: + ui.graphicsView.scale(scale[0], scale[0]) + init.scaleant=scale[0] + + f = fitnnes try: GA.setattrGeneticAlgorithm(f, chro, selection_type=get_selection_mode(), @@ -393,6 +289,8 @@ def init(): porcent_elitism=ui.elitism.value(), porcent_mute=ui.mute.value()) except GenecticException: print GenecticException.what + +init.scaleant=None if __name__ == "__main__": GA = GeneticAlgorithm() app = QtGui.QApplication(sys.argv) diff --git a/scene.py b/scene.py index 799af01..cdb4979 100644 --- a/scene.py +++ b/scene.py @@ -7,7 +7,9 @@ BLACK = QtCore.Qt.black YELLOW = QtCore.Qt.yellow GREEN = QtCore.Qt.green + class SCENE(QtGui.QGraphicsScene): + def __init__(self): QtGui.QGraphicsScene.__init__(self) self.__N_cities=0 From e51a5b02d7d81b41b60105b41c8aee2f32639be4 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 11 Dec 2016 15:43:29 +0100 Subject: [PATCH 16/47] Add Coment of public function --- Genetic_Algorithm.py | 53 +++++++++++++++++++++++++++++++++++++++----- 1 file changed, 48 insertions(+), 5 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 7985849..5ddd060 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -13,6 +13,7 @@ CHILD_SPLIT = 11 CHILD_FLIP2 = 12 CHILD_MEAN = 13 +CHILD_SPLIT2 = 14 @@ -26,6 +27,12 @@ class GenecticException(B): class chromosome_t(): def __init__(self, n_chromosomes, maxvalue = None, minvalue = 0, chromosomes_is_float = False, ): + """ + :param n_chromosomes: is the number of chromosomes that an individual has + :param maxvalue: is the maximum value of a chromosome + :param minvalue: is the minimum value of a chromosome + :param chromosomes_is_float: is True if the value of a chromosome can be float + """ self.N_CHRO = n_chromosomes if maxvalue is None: self.MAXVALUE = n_chromosomes @@ -178,6 +185,20 @@ def __init__(self): def setattrGeneticAlgorithm(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP, selection_type = FILL_NEXT_GENERATION, High_Low = False, size_pool = 1000, porcent_elitism = 10, porcent_mute = 2, can_repeated_chro = False, testing = False): + """ + Set the params to instance, this function can raise a GeneticException + :param fun_fitness: is a pointer of function fitness + :param chromosomes: is a class of chromosomes_t + :param itmax: is a iteration max of funtion run + :param child_type: is a type of generate the next pool + :param selection_type: is a type of selection of individuos for generate the next pool + :param High_Low: is True if you search a individual which function fintness is max + :param size_pool: is the size of pool + :param porcent_elitism: is the percentage you want to keep in the pool + :param porcent_mute: is the percentage you want to keep in the group + :param can_repeated_chro: is True if the crhomosomes of individual can be repeated + :param testing: + """ if selection_type not in [ROULETTE, FILL_NEXT_GENERATION]: a = GenecticException a.what = "Error: selection_type is not correct." @@ -342,6 +363,16 @@ def __Replace_repeated(self, child): n += 1 return child + def __Generate_Child_split_Selection(self, item1, item2): + """ + Funtion that generate 2 child and return the best of the parents and childs + """ + childs=self.__Generate_Child_split(item1, item2) + childs.append(item1) + childs.append(item2) + return self.__Tournament_Selection_Deterministic(childs) + + def __Generate_Child(self, item1, item2 = None): """ Generate child main @@ -354,6 +385,8 @@ def __Generate_Child(self, item1, item2 = None): return self.__Generate_Child_split(item1, item2) elif self.__TYPECHILD is CHILD_MEAN: return self.__Generate_Child_Mean(item1, item2) + elif self.__TYPECHILD is CHILD_SPLIT2: + return self.__Generate_Child_split_Selection(item1,item2) def __Fill_Next_Generation(self): """ @@ -462,7 +495,9 @@ def __run(self): def set_pool(self, pool): """ - Asign a predefined pool and activate testing mode + Asign a predefined pool and activate testing mode + If size of individual is not correct raise GenecticException + :param pool: Is the population to be allocated: is of the type [[[individual],0,0],[[individual],0,0],...] """ if self.__N_CHROMOSOMES is not len(pool[0][0]): a = GenecticException @@ -473,14 +508,14 @@ def set_pool(self, pool): def get_empty_pool(self): """ - Get a empty pool + :return: a empty pool of the type [[[0 for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] """ pool = [[[0 for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] return pool def get_pool(self): """ - Get the pool + :return: the current pool is of the type [[[individual],0,0],[[individual],0,0],...] """ return copy.copy(self.__POOL) @@ -493,13 +528,14 @@ def print_individuals(self): def Winner_Probability(self): """ - Return the win individual + :return: the current winning individual """ return self.__POOL[0][:] def run(self, print_best=0): """ - Function main that run the algorithm + Function main that run the algorithm + :param print_best: If it is not 0, is printed top print_best """ for x in range(self.__ITMAX): for i in range(self.__SIZE_POOL): @@ -520,7 +556,14 @@ def run(self, print_best=0): print "\rThe winer is: ", self.Winner_Probability() def start(self,period=100): + """ + Run a timer with period, this timer is connect with Function main that run the algorithm + :param period: + """ self.timer.start(period) def stop(self): + """ + This function for the timer. + """ self.timer.stop() From f8eb7b313d518457be7a079f2841a127a4266c86 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 11 Dec 2016 16:28:51 +0100 Subject: [PATCH 17/47] Added child mode split tournament Det and Prob and flip tournament Det and Prob, added DEBUG mode print name function --- Genetic_Algorithm.py | 115 ++++++++++++++++++++++++++++++++++++------- gui.ui | 17 ++++++- main.py | 13 +++-- 3 files changed, 122 insertions(+), 23 deletions(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 5ddd060..1560f06 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -5,17 +5,29 @@ from time import * import math from PySide import QtCore +import inspect + +DEBUG = False ROULETTE = 1 FILL_NEXT_GENERATION = 2 CHILD_FLIP = 10 CHILD_SPLIT = 11 -CHILD_FLIP2 = 12 -CHILD_MEAN = 13 -CHILD_SPLIT2 = 14 +CHILD_FLIP_TOURNAMENT_DETERMINISTIC = 12 +CHILD_FLIP_TOURNAMENT_PROBABILISTIC = 13 +CHILD_MEAN = 14 +CHILD_SPLIT_TOURNAMENT_DETERMINISTIC = 15 +CHILD_SPLIT_TOURNAMENT_PROBABILISTIC = 16 + +types_childs_1 = [CHILD_FLIP,CHILD_FLIP_TOURNAMENT_DETERMINISTIC,CHILD_FLIP_TOURNAMENT_PROBABILISTIC,CHILD_MEAN, + CHILD_SPLIT_TOURNAMENT_DETERMINISTIC,CHILD_SPLIT_TOURNAMENT_PROBABILISTIC] +types_childs_2 = [CHILD_SPLIT] +types_Child = [CHILD_FLIP,CHILD_SPLIT,CHILD_MEAN,CHILD_FLIP_TOURNAMENT_DETERMINISTIC,CHILD_FLIP_TOURNAMENT_PROBABILISTIC, + CHILD_SPLIT_TOURNAMENT_DETERMINISTIC,CHILD_SPLIT_TOURNAMENT_PROBABILISTIC] +types_selection= [FILL_NEXT_GENERATION,ROULETTE] class B(Exception): pass @@ -142,7 +154,7 @@ def fitnnes(item): dist = dist + distance[cityant][item[0]] return dist -if __name__ == "__main__": +if inspect.stack()[0][3] == "__main__": print "[" for x in distance: print x[:20], "," @@ -160,6 +172,8 @@ def fitnnes(item): """ def __init__(self): + if DEBUG: + print inspect.stack()[0][3] try: self.__ELITISM = None self.__MUTE = None @@ -199,7 +213,9 @@ def setattrGeneticAlgorithm(self, fun_fitness, chromosomes, itmax = 50, child_ty :param can_repeated_chro: is True if the crhomosomes of individual can be repeated :param testing: """ - if selection_type not in [ROULETTE, FILL_NEXT_GENERATION]: + if DEBUG: + print inspect.stack()[0][3] + if selection_type not in types_selection: a = GenecticException a.what = "Error: selection_type is not correct." raise a @@ -219,6 +235,10 @@ def setattrGeneticAlgorithm(self, fun_fitness, chromosomes, itmax = 50, child_ty a = GenecticException a.what = "Error: If var 'chromosomes.CHRO_IS_F' is true 'can_repeated_chro' must be true" raise a + if child_type not in types_Child: + a = GenecticException + a.what = "Error: child_type is not correct" + raise a try: self.__ELITISM = porcent_elitism / 100.0 self.__MUTE = porcent_mute @@ -244,6 +264,8 @@ def __Generate_pool(self): """ Function that generate a pool """ + if DEBUG: + print inspect.stack()[0][3] if self.__CHRO_IS_F is False: if self.__CAN_REPETEAD_CHRO is False: ind = range(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) @@ -261,12 +283,16 @@ def __getKey(self, item): """ Function that returns a key to sort pool """ + #if DEBUG: + # print inspect.stack()[0][3] return item[1] def __Get_Individuos(self, individual): """ Function that returns a individuos i """ + #if DEBUG: + # print inspect.stack()[0][3] if individual not in range(0, self.__SIZE_POOL): a = GenecticException a.what = "Error: individual", individual, " not existing, 0 < = individual < " + str(self.__SIZE_POOL) @@ -277,6 +303,8 @@ def __Set_Fittnes(self, individual, Fittnes): """ Function that set the Fittnes to sort pool """ + #if DEBUG: + # print inspect.stack()[0][3] if individual not in range(0, self.__SIZE_POOL): a = GenecticException a.what = "Error: individual", individual, " not existing, 0 < = individual < " + str(self.__SIZE_POOL) @@ -287,12 +315,16 @@ def __sort_pool(self, rever = False): """ Function that sort pool if rever is True sort of highest to lowest else lowest to highest """ + #if DEBUG: + # print inspect.stack()[0][3] self.__POOL.sort(key = self.__getKey, reverse = rever) def __Generate_Child_flip(self, item): """ Generate a child by flip method """ + if DEBUG: + print inspect.stack()[0][3] child = copy.copy(item) index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] index.sort() @@ -300,10 +332,12 @@ def __Generate_Child_flip(self, item): child[index[0]:index[1]] = revert[::-1] return child - def __Generate_Child_tournament_Det(self, item): + def __Generate_Child_Flip_tournament(self, item): """ Generate two sons by flip method, after that it returns the best between Father and the two sons. """ + if DEBUG: + print inspect.stack()[0][3] child = copy.copy(item) index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] index.sort() @@ -317,12 +351,17 @@ def __Generate_Child_tournament_Det(self, item): child2[index[1]:self.__N_CHROMOSOMES - 1] = revert2right[::-1] listIndividual = [item, child, child2] - return self.__Tournament_Selection_Deterministic(listIndividual) + if self.__TYPECHILD is CHILD_FLIP_TOURNAMENT_DETERMINISTIC: + return self.__Tournament_Selection_Deterministic(listIndividual) + elif self.__TYPECHILD is CHILD_FLIP_TOURNAMENT_PROBABILISTIC: + return self.__Tournament_Selection_Probabilistic(listIndividual) def __Generate_Child_split(self, item1, item2): """ Generate two sons by split method """ + if DEBUG: + print inspect.stack()[0][3] child1 = copy.copy(item1) child2 = copy.copy(item2) split = randint(1, self.__N_CHROMOSOMES - 1) @@ -337,6 +376,8 @@ def __Generate_Child_Mean(self, item1, item2): """ Generate a child by mean method """ + if DEBUG: + print inspect.stack()[0][3] child = copy.copy(item1) if self.__CHRO_IS_F is True: for i in range(self.__N_CHROMOSOMES): @@ -353,6 +394,8 @@ def __Replace_repeated(self, child): """ Function that replace the chromosomes repeated """ + if DEBUG: + print inspect.stack()[0][3] n = self.__CHRO_MINVALUE for i in range(0,len(child)-1): if child[i] in child[i + 1:]: @@ -363,44 +406,52 @@ def __Replace_repeated(self, child): n += 1 return child - def __Generate_Child_split_Selection(self, item1, item2): + def __Generate_Child_split_tournament(self, item1, item2): """ Funtion that generate 2 child and return the best of the parents and childs """ + if DEBUG: + print inspect.stack()[0][3] childs=self.__Generate_Child_split(item1, item2) childs.append(item1) childs.append(item2) - return self.__Tournament_Selection_Deterministic(childs) - + if self.__TYPECHILD is CHILD_SPLIT_TOURNAMENT_DETERMINISTIC: + return self.__Tournament_Selection_Deterministic(childs) + elif self.__TYPECHILD is CHILD_SPLIT_TOURNAMENT_PROBABILISTIC: + return self.__Tournament_Selection_Probabilistic(childs) def __Generate_Child(self, item1, item2 = None): """ Generate child main """ + if DEBUG: + print inspect.stack()[0][3] if self.__TYPECHILD is CHILD_FLIP: return self.__Generate_Child_flip(item1) - elif self.__TYPECHILD is CHILD_FLIP2: - return self.__Generate_Child_tournament_Det(item1) + elif self.__TYPECHILD in [CHILD_FLIP_TOURNAMENT_DETERMINISTIC, CHILD_FLIP_TOURNAMENT_PROBABILISTIC]: + return self.__Generate_Child_Flip_tournament(item1) elif self.__TYPECHILD is CHILD_SPLIT: return self.__Generate_Child_split(item1, item2) elif self.__TYPECHILD is CHILD_MEAN: return self.__Generate_Child_Mean(item1, item2) - elif self.__TYPECHILD is CHILD_SPLIT2: - return self.__Generate_Child_split_Selection(item1,item2) + elif self.__TYPECHILD in [CHILD_SPLIT_TOURNAMENT_DETERMINISTIC,CHILD_SPLIT_TOURNAMENT_PROBABILISTIC]: + return self.__Generate_Child_split_tournament(item1, item2) def __Fill_Next_Generation(self): """ Function that fill the pool """ + if DEBUG: + print inspect.stack()[0][3] new_pull = copy.copy(self.__POOL) - if self.__TYPECHILD in [CHILD_FLIP, CHILD_FLIP2, CHILD_MEAN]: + if self.__TYPECHILD in types_childs_1: for i in (range(0, self.__rangechild)): child = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2 = self.__POOL[i+1][0]) dest = i + self.__sizeelitism if randint(0, 99) < self.__MUTE: child = self.__mute_individuals(child) new_pull[dest][0] = copy.copy(child) - elif self.__TYPECHILD in [CHILD_SPLIT]: + elif self.__TYPECHILD in types_childs_2: for i in (range(0, self.__rangechild, 2)): childs = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2 = copy.copy(self.__POOL[i + 1][0])) dest = i + self.__sizeelitism @@ -414,6 +465,8 @@ def __Tournament_Selection_Deterministic(self, listItems): """ Function that select the best item from a list of items for tournament selection. """ + if DEBUG: + print inspect.stack()[0][3] dict = {} for i in range(0, len(listItems)): dict[i] = self.__FUN_FITNESS(listItems[i]) @@ -423,19 +476,23 @@ def __Tournament_Selection_Probabilistic(self, listItems): """ Function that select the best item from a list of items for tournament selection. """ + if DEBUG: + print inspect.stack()[0][3] return listItems[randint(0, len(listItems) - 1)] def __Roulette(self): """ Function that selct the individuos to fill next pool """ + if DEBUG: + print inspect.stack()[0][3] new_pool = copy.copy(self.__POOL) for i in (range(1, self.__SIZE_POOL)): self.__POOL[i][1] = self.__POOL[i][1] + self.__POOL[i - 1][1] for i in (range(0, self.__SIZE_POOL)): self.__POOL[i][2] = 1 - (self.__POOL[i][1] / self.__POOL[self.__SIZE_POOL - 1][1]) - if self.__TYPECHILD in [CHILD_FLIP, CHILD_FLIP2, CHILD_MEAN]: + if self.__TYPECHILD in types_childs_1: for i in (range(0, self.__rangechild)): selec = random() for j in range(0, self.__SIZE_POOL)[::-1]: @@ -446,7 +503,7 @@ def __Roulette(self): if randint(0, 99) < self.__MUTE: child = self.__mute_individuals(child) new_pool[dest][0] = copy.copy(child) - elif self.__TYPECHILD in [CHILD_SPLIT]: + elif self.__TYPECHILD in types_childs_2: for i in (range(0, self.__rangechild, 2)): selec1 = random() selec2 = random() @@ -468,6 +525,8 @@ def __Next_Generation(self): """ Function main for fill next pool, this call the different forms the generate next pool """ + if DEBUG: + print inspect.stack()[0][3] if self.__SELECTION_TYPE is FILL_NEXT_GENERATION: self.__Fill_Next_Generation() elif self.__SELECTION_TYPE is ROULETTE: @@ -477,6 +536,8 @@ def __mute_individuals(self, item): """ Function that mute a individuos """ + if DEBUG: + print inspect.stack()[0][3] index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] index.sort() a = copy.copy(item[index[0]:index[1]]) @@ -486,6 +547,8 @@ def __mute_individuals(self, item): @QtCore.Slot() def __run(self): + if DEBUG: + print inspect.stack()[0][3] for i in range(self.__SIZE_POOL): item = self.__Get_Individuos(i) self.__Set_Fittnes(i, self.__FUN_FITNESS(item)) @@ -499,6 +562,8 @@ def set_pool(self, pool): If size of individual is not correct raise GenecticException :param pool: Is the population to be allocated: is of the type [[[individual],0,0],[[individual],0,0],...] """ + if DEBUG: + print inspect.stack()[0][3] if self.__N_CHROMOSOMES is not len(pool[0][0]): a = GenecticException a.what = "Error: the size of the individuos of pool is not correct." @@ -510,6 +575,8 @@ def get_empty_pool(self): """ :return: a empty pool of the type [[[0 for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] """ + if DEBUG: + print inspect.stack()[0][3] pool = [[[0 for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] return pool @@ -517,12 +584,16 @@ def get_pool(self): """ :return: the current pool is of the type [[[individual],0,0],[[individual],0,0],...] """ + if DEBUG: + print inspect.stack()[0][3] return copy.copy(self.__POOL) def print_individuals(self): """ Print the individuals of the pool """ + if DEBUG: + print inspect.stack()[0][3] for i in range(0, self.__SIZE_POOL): print self.__POOL[i][:] @@ -530,6 +601,8 @@ def Winner_Probability(self): """ :return: the current winning individual """ + if DEBUG: + print inspect.stack()[0][3] return self.__POOL[0][:] def run(self, print_best=0): @@ -537,6 +610,8 @@ def run(self, print_best=0): Function main that run the algorithm :param print_best: If it is not 0, is printed top print_best """ + if DEBUG: + print inspect.stack()[0][3] for x in range(self.__ITMAX): for i in range(self.__SIZE_POOL): item = self.__Get_Individuos(i) @@ -560,10 +635,14 @@ def start(self,period=100): Run a timer with period, this timer is connect with Function main that run the algorithm :param period: """ + if DEBUG: + print inspect.stack()[0][3] self.timer.start(period) def stop(self): """ This function for the timer. """ + if DEBUG: + print inspect.stack()[0][3] self.timer.stop() diff --git a/gui.ui b/gui.ui index 6fdc868..89c6fe9 100644 --- a/gui.ui +++ b/gui.ui @@ -34,6 +34,16 @@ CHILD_FLIP + + + CHILD_FLIP_TOURNAMENT_DETERMINISTIC + + + + + CHILD_FLIP_TOURNAMENT_PROBABILISTIC + + CHILD_SPLIT @@ -41,7 +51,12 @@ - CHILD_FLIP2 + CHILD_SPLIT_TOURNAMENT_DETERMINISTIC + + + + + CHILD_SPLIT_TOURNAMENT_PROBABILISTIC diff --git a/main.py b/main.py index 6d3cd98..a52dff6 100644 --- a/main.py +++ b/main.py @@ -242,11 +242,16 @@ def get_child_mode(): if mode is 0: return CHILD_FLIP elif mode is 1: - return CHILD_SPLIT + return CHILD_FLIP_TOURNAMENT_DETERMINISTIC elif mode is 2: - return CHILD_FLIP2 - + return CHILD_FLIP_TOURNAMENT_PROBABILISTIC elif mode is 3: + return CHILD_SPLIT + elif mode is 4: + return CHILD_SPLIT_TOURNAMENT_DETERMINISTIC + elif mode is 5: + return CHILD_SPLIT_TOURNAMENT_PROBABILISTIC + elif mode is 6: return CHILD_MEAN def get_selection_mode(): @@ -261,7 +266,7 @@ def get_high_low(): @QtCore.Slot() def start(): - GA.start(100) + GA.start(300) timer.start(100) @QtCore.Slot() From 8e48ea47f06a12369fd57b4854c6f2de78977e08 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 11 Dec 2016 19:20:17 +0100 Subject: [PATCH 18/47] Create package libGeneticAlgorithm --- gui.py | 158 ++++++++++++++++++ libGeneticAlgorithm/Chromosome.py | 16 ++ .../Genetic_Algorithm.py | 34 +--- libGeneticAlgorithm/__init__.py | 0 main.py | 7 +- 5 files changed, 184 insertions(+), 31 deletions(-) create mode 100644 gui.py create mode 100644 libGeneticAlgorithm/Chromosome.py rename Genetic_Algorithm.py => libGeneticAlgorithm/Genetic_Algorithm.py (97%) create mode 100644 libGeneticAlgorithm/__init__.py diff --git a/gui.py b/gui.py new file mode 100644 index 0000000..8be12bd --- /dev/null +++ b/gui.py @@ -0,0 +1,158 @@ +# -*- coding: utf-8 -*- + +# Form implementation generated from reading ui file 'gui.ui' +# +# Created by: PyQt4 UI code generator 4.11.4 +# +# WARNING! All changes made in this file will be lost! + +from PySide import QtCore, QtGui + +try: + _fromUtf8 = QtCore.QString.fromUtf8 +except AttributeError: + def _fromUtf8(s): + return s + +try: + _encoding = QtGui.QApplication.UnicodeUTF8 + def _translate(context, text, disambig): + return QtGui.QApplication.translate(context, text, disambig, _encoding) +except AttributeError: + def _translate(context, text, disambig): + return QtGui.QApplication.translate(context, text, disambig) + +class Ui_Dialog(object): + def setupUi(self, Dialog): + Dialog.setObjectName(_fromUtf8("Dialog")) + Dialog.resize(812, 537) + self.verticalLayout = QtGui.QVBoxLayout(Dialog) + self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) + self.verticalLayout_2 = QtGui.QVBoxLayout() + self.verticalLayout_2.setObjectName(_fromUtf8("verticalLayout_2")) + self.horizontalLayout_4 = QtGui.QHBoxLayout() + self.horizontalLayout_4.setObjectName(_fromUtf8("horizontalLayout_4")) + self.verticalLayout_3 = QtGui.QVBoxLayout() + self.verticalLayout_3.setObjectName(_fromUtf8("verticalLayout_3")) + self.label = QtGui.QLabel(Dialog) + self.label.setObjectName(_fromUtf8("label")) + self.verticalLayout_3.addWidget(self.label) + self.child_mode = QtGui.QComboBox(Dialog) + self.child_mode.setObjectName(_fromUtf8("child_mode")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.verticalLayout_3.addWidget(self.child_mode) + self.horizontalLayout_4.addLayout(self.verticalLayout_3) + self.verticalLayout_9 = QtGui.QVBoxLayout() + self.verticalLayout_9.setObjectName(_fromUtf8("verticalLayout_9")) + self.label_7 = QtGui.QLabel(Dialog) + self.label_7.setObjectName(_fromUtf8("label_7")) + self.verticalLayout_9.addWidget(self.label_7) + self.selection_mode = QtGui.QComboBox(Dialog) + self.selection_mode.setObjectName(_fromUtf8("selection_mode")) + self.selection_mode.addItem(_fromUtf8("")) + self.selection_mode.addItem(_fromUtf8("")) + self.verticalLayout_9.addWidget(self.selection_mode) + self.horizontalLayout_4.addLayout(self.verticalLayout_9) + self.verticalLayout_4 = QtGui.QVBoxLayout() + self.verticalLayout_4.setObjectName(_fromUtf8("verticalLayout_4")) + self.label_2 = QtGui.QLabel(Dialog) + self.label_2.setObjectName(_fromUtf8("label_2")) + self.verticalLayout_4.addWidget(self.label_2) + self.mute = QtGui.QSpinBox(Dialog) + self.mute.setMinimum(0) + self.mute.setMaximum(100) + self.mute.setProperty("value", 2) + self.mute.setObjectName(_fromUtf8("mute")) + self.verticalLayout_4.addWidget(self.mute) + self.horizontalLayout_4.addLayout(self.verticalLayout_4) + self.verticalLayout_5 = QtGui.QVBoxLayout() + self.verticalLayout_5.setObjectName(_fromUtf8("verticalLayout_5")) + self.label_3 = QtGui.QLabel(Dialog) + self.label_3.setObjectName(_fromUtf8("label_3")) + self.verticalLayout_5.addWidget(self.label_3) + self.elitism = QtGui.QSpinBox(Dialog) + self.elitism.setMaximum(100) + self.elitism.setProperty("value", 10) + self.elitism.setObjectName(_fromUtf8("elitism")) + self.verticalLayout_5.addWidget(self.elitism) + self.horizontalLayout_4.addLayout(self.verticalLayout_5) + self.verticalLayout_6 = QtGui.QVBoxLayout() + self.verticalLayout_6.setObjectName(_fromUtf8("verticalLayout_6")) + self.label_4 = QtGui.QLabel(Dialog) + self.label_4.setObjectName(_fromUtf8("label_4")) + self.verticalLayout_6.addWidget(self.label_4) + self.size_pool = QtGui.QSpinBox(Dialog) + self.size_pool.setMaximum(100000) + self.size_pool.setSingleStep(10) + self.size_pool.setProperty("value", 1000) + self.size_pool.setObjectName(_fromUtf8("size_pool")) + self.verticalLayout_6.addWidget(self.size_pool) + self.horizontalLayout_4.addLayout(self.verticalLayout_6) + self.verticalLayout_7 = QtGui.QVBoxLayout() + self.verticalLayout_7.setObjectName(_fromUtf8("verticalLayout_7")) + self.label_5 = QtGui.QLabel(Dialog) + self.label_5.setObjectName(_fromUtf8("label_5")) + self.verticalLayout_7.addWidget(self.label_5) + self.cities = QtGui.QSpinBox(Dialog) + self.cities.setMinimum(10) + self.cities.setMaximum(200) + self.cities.setProperty("value", 10) + self.cities.setObjectName(_fromUtf8("cities")) + self.verticalLayout_7.addWidget(self.cities) + self.horizontalLayout_4.addLayout(self.verticalLayout_7) + self.high_low = QtGui.QCheckBox(Dialog) + self.high_low.setObjectName(_fromUtf8("high_low")) + self.horizontalLayout_4.addWidget(self.high_low) + self.verticalLayout_2.addLayout(self.horizontalLayout_4) + self.verticalLayout.addLayout(self.verticalLayout_2) + self.dist = QtGui.QLabel(Dialog) + self.dist.setObjectName(_fromUtf8("dist")) + self.verticalLayout.addWidget(self.dist) + self.graphicsView = QtGui.QGraphicsView(Dialog) + self.graphicsView.setObjectName(_fromUtf8("graphicsView")) + self.verticalLayout.addWidget(self.graphicsView) + self.horizontalLayout = QtGui.QHBoxLayout() + self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) + self.stop = QtGui.QPushButton(Dialog) + self.stop.setObjectName(_fromUtf8("stop")) + self.horizontalLayout.addWidget(self.stop) + self.init = QtGui.QPushButton(Dialog) + self.init.setObjectName(_fromUtf8("init")) + self.horizontalLayout.addWidget(self.init) + self.start = QtGui.QPushButton(Dialog) + self.start.setObjectName(_fromUtf8("start")) + self.horizontalLayout.addWidget(self.start) + self.verticalLayout.addLayout(self.horizontalLayout) + + self.retranslateUi(Dialog) + QtCore.QMetaObject.connectSlotsByName(Dialog) + + def retranslateUi(self, Dialog): + Dialog.setWindowTitle(_translate("Dialog", "Dialog", None)) + self.label.setText(_translate("Dialog", "CHILD MODE", None)) + self.child_mode.setItemText(0, _translate("Dialog", "CHILD_FLIP", None)) + self.child_mode.setItemText(1, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_DETERMINISTIC", None)) + self.child_mode.setItemText(2, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_PROBABILISTIC", None)) + self.child_mode.setItemText(3, _translate("Dialog", "CHILD_SPLIT", None)) + self.child_mode.setItemText(4, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_DETERMINISTIC", None)) + self.child_mode.setItemText(5, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_PROBABILISTIC", None)) + self.child_mode.setItemText(6, _translate("Dialog", "CHILD_MEAN", None)) + self.label_7.setText(_translate("Dialog", "SELECTION MODE", None)) + self.selection_mode.setItemText(0, _translate("Dialog", "FILL", None)) + self.selection_mode.setItemText(1, _translate("Dialog", "ROULETTE", None)) + self.label_2.setText(_translate("Dialog", "MUTE %", None)) + self.label_3.setText(_translate("Dialog", "ELITISM %", None)) + self.label_4.setText(_translate("Dialog", "SIZE POOL", None)) + self.label_5.setText(_translate("Dialog", "CITIES", None)) + self.high_low.setText(_translate("Dialog", "Sort high to low", None)) + self.dist.setText(_translate("Dialog", "TextLabel", None)) + self.stop.setText(_translate("Dialog", "Stop", None)) + self.init.setText(_translate("Dialog", "Init", None)) + self.start.setText(_translate("Dialog", "Start", None)) + diff --git a/libGeneticAlgorithm/Chromosome.py b/libGeneticAlgorithm/Chromosome.py new file mode 100644 index 0000000..d1d8d75 --- /dev/null +++ b/libGeneticAlgorithm/Chromosome.py @@ -0,0 +1,16 @@ +class chromosome_t(): + + def __init__(self, n_chromosomes, maxvalue = None, minvalue = 0, chromosomes_is_float = False, ): + """ + :param n_chromosomes: is the number of chromosomes that an individual has + :param maxvalue: is the maximum value of a chromosome + :param minvalue: is the minimum value of a chromosome + :param chromosomes_is_float: is True if the value of a chromosome can be float + """ + self.N_CHRO = n_chromosomes + if maxvalue is None: + self.MAXVALUE = n_chromosomes + else: + self.MAXVALUE = maxvalue + self.MINVALUE = minvalue + self.CHRO_IS_F = chromosomes_is_float \ No newline at end of file diff --git a/Genetic_Algorithm.py b/libGeneticAlgorithm/Genetic_Algorithm.py similarity index 97% rename from Genetic_Algorithm.py rename to libGeneticAlgorithm/Genetic_Algorithm.py index 1560f06..0b34b4e 100644 --- a/Genetic_Algorithm.py +++ b/libGeneticAlgorithm/Genetic_Algorithm.py @@ -1,11 +1,10 @@ -from __builtin__ import str - -from random import * import copy -from time import * +import inspect import math from PySide import QtCore -import inspect +from __builtin__ import str +from random import * +from time import * DEBUG = False @@ -27,33 +26,12 @@ types_Child = [CHILD_FLIP,CHILD_SPLIT,CHILD_MEAN,CHILD_FLIP_TOURNAMENT_DETERMINISTIC,CHILD_FLIP_TOURNAMENT_PROBABILISTIC, CHILD_SPLIT_TOURNAMENT_DETERMINISTIC,CHILD_SPLIT_TOURNAMENT_PROBABILISTIC] -types_selection= [FILL_NEXT_GENERATION,ROULETTE] - -class B(Exception): - pass +types_selection= [FILL_NEXT_GENERATION,ROULETTE] -class GenecticException(B): +class GenecticException(Exception): what = None - -class chromosome_t(): - def __init__(self, n_chromosomes, maxvalue = None, minvalue = 0, chromosomes_is_float = False, ): - """ - :param n_chromosomes: is the number of chromosomes that an individual has - :param maxvalue: is the maximum value of a chromosome - :param minvalue: is the minimum value of a chromosome - :param chromosomes_is_float: is True if the value of a chromosome can be float - """ - self.N_CHRO = n_chromosomes - if maxvalue is None: - self.MAXVALUE = n_chromosomes - else: - self.MAXVALUE = maxvalue - self.MINVALUE = minvalue - self.CHRO_IS_F = chromosomes_is_float - - class GeneticAlgorithm: """ The structure of a tuple of the PULL is: diff --git a/libGeneticAlgorithm/__init__.py b/libGeneticAlgorithm/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/main.py b/main.py index a52dff6..c7b51bd 100644 --- a/main.py +++ b/main.py @@ -1,8 +1,9 @@ -from Genetic_Algorithm import * -from scene import * import sys + from gui import * -from PySide import QtCore,QtGui +from libGeneticAlgorithm.Chromosome import * +from libGeneticAlgorithm.Genetic_Algorithm import * +from scene import * pcities = [ [0, [406, 945]], [1, [-986, 356]], [2, [346, 769]], [3, [356, -133]], [4, [845, 763]], [5, [373, -95]], [6, [-779, 83]], [7, [286, -615]], [8, [-706, -716]], [9, [91, -927]], [10, [443, -792]], [11, [-111, 951]], [12, [-513, -477]], [13, [345, -308]], [14, [575, 513]], [15, [-692, -877]], [16, [-549, 891]], [17, [656, -36]], [18, [-177, -841]], [19, [-182, 465]], [20, [-766, 446]], [21, [-377, -732]], [22, [834, -676]], [23, [-833, 158]], [24, [-135, 542]], [25, [-349, 469]], [26, [-324, 540]], [27, [-606, 820]], [28, [592, 916]], [29, [298, -204]], [30, [2, 426]], [31, [198, 802]], [32, [-94, -388]], [33, [-89, -70]], [34, [796, 793]], [35, [-941, -996]], [36, [-921, 870]], [37, [307, 937]], [38, [788, -69]], [39, [321, -23]], [40, [825, 759]], [41, [-101, 7]], [42, [-905, -678]], [43, [330, -394]], [44, [-78, -308]], [45, [-132, 849]], [46, [-95, -250]], [47, [541, -263]], [48, [-158, 224]], [49, [-297, 902]], [50, [498, -962]], [51, [378, 141]], [52, [983, -602]], [53, [796, -124]], [54, [-150, 60]], [55, [238, -827]], [56, [258, 559]], [57, [-423, -1]], [58, [-120, -891]], [59, [-818, 959]], [60, [263, -387]], [61, [-550, 948]], [62, [542, 501]], [63, [32, -637]], [64, [417, -525]], [65, [573, -199]], [66, [-488, 258]], [67, [-300, 154]], [68, [803, -67]], [69, [732, 390]], [70, [-253, 489]], [71, [556, -393]], [72, [-695, -73]], [73, [-328, 857]], [74, [-547, -210]], [75, [-211, -344]], [76, [-456, 452]], [77, [-371, 32]], [78, [-368, -1]], [79, [603, 223]], [80, [-861, -134]], [81, [-708, -421]], [82, [278, -620]], [83, [205, -744]], [84, [891, -958]], [85, [-746, -278]], [86, [-992, 455]], [87, [-540, 394]], [88, [907, 668]], [89, [833, -758]], [90, [795, 12]], [91, [799, -777]], [92, [-599, -288]], [93, [-173, 100]], [94, [468, -786]], [95, [774, 387]], [96, [-430, 291]], [97, [-396, -481]], [98, [-380, -329]], [99, [-36, 45]], [100, [-927, 838]], [101, [887, 458]], [102, [-235, 507]], [103, [972, -875]], [104, [991, -292]], [105, [190, 578]], [106, [-573, -865]], [107, [-738, -678]], [108, [-171, 639]], [109, [795, -509]], [110, [856, 603]], [111, [-559, 753]], [112, [-445, 738]], [113, [696, -752]], [114, [-602, 747]], [115, [-90, 861]], [116, [311, -839]], [117, [-659, -936]], [118, [401, -809]], [119, [-596, 452]], [120, [-55, 605]], [121, [874, 129]], [122, [-708, 595]], [123, [-664, 347]], [124, [787, -184]], [125, [875, -117]], [126, [147, 450]], [127, [-155, -16]], [128, [202, 5]], [129, [-232, 792]], [130, [968, 572]], [131, [-691, 320]], [132, [375, 990]], [133, [-376, 661]], [134, [-682, 35]], [135, [453, 493]], [136, [-143, 865]], [137, [-501, -246]], [138, [-537, -876]], [139, [-435, -545]], [140, [-794, -557]], [141, [179, -366]], [142, [-984, 68]], [143, [-30, 203]], [144, [91, -906]], [145, [-384, 836]], [146, [-6, -72]], [147, [887, -810]], [148, [459, 291]], [149, [251, -366]], [150, [-171, -265]], [151, [829, 258]], [152, [538, -360]], [153, [-586, 789]], [154, [-773, 224]], [155, [980, -642]], [156, [912, -1]], [157, [736, -606]], [158, [789, -722]], [159, [-828, 584]], [160, [-215, -7]], [161, [-300, 145]], [162, [859, -614]], [163, [-596, 68]], [164, [209, -134]], [165, [570, -488]], [166, [-646, 188]], [167, [-594, -524]], [168, [393, 1]], [169, [-743, -76]], [170, [-60, -123]], [171, [10, 104]], [172, [489, 581]], [173, [934, 329]], [174, [-344, -973]], [175, [-620, 770]], [176, [-18, 426]], [177, [-570, 947]], [178, [-765, -164]], [179, [-401, -720]], [180, [-56, -437]], [181, [-441, 87]], [182, [139, -8]], [183, [854, -316]], [184, [-437, 666]], [185, [-587, -989]], [186, [-620, 324]], [187, [684, 224]], [188, [398, -399]], [189, [-10, -452]], [190, [755, 981]], [191, [752, -913]], [192, [-786, 545]], [193, [-969, 739]], [194, [19, 345]], [195, [923, -319]], [196, [429, -125]], [197, [22, -193]], [198, [-881, 700]], [199, [-667, 412]]] From 082ca53d83e6ea9e3c989b7a7e5cb8901773f241 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 11 Dec 2016 19:23:01 +0100 Subject: [PATCH 19/47] Add gui.py --- gui.py | 158 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 158 insertions(+) create mode 100644 gui.py diff --git a/gui.py b/gui.py new file mode 100644 index 0000000..d94ac35 --- /dev/null +++ b/gui.py @@ -0,0 +1,158 @@ +# -*- coding: utf-8 -*- + +# Form implementation generated from reading ui file 'gui.ui' +# +# Created by: PyQt4 UI code generator 4.11.4 +# +# WARNING! All changes made in this file will be lost! + +from PyQt4 import QtCore, QtGui + +try: + _fromUtf8 = QtCore.QString.fromUtf8 +except AttributeError: + def _fromUtf8(s): + return s + +try: + _encoding = QtGui.QApplication.UnicodeUTF8 + def _translate(context, text, disambig): + return QtGui.QApplication.translate(context, text, disambig, _encoding) +except AttributeError: + def _translate(context, text, disambig): + return QtGui.QApplication.translate(context, text, disambig) + +class Ui_Dialog(object): + def setupUi(self, Dialog): + Dialog.setObjectName(_fromUtf8("Dialog")) + Dialog.resize(812, 537) + self.verticalLayout = QtGui.QVBoxLayout(Dialog) + self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) + self.verticalLayout_2 = QtGui.QVBoxLayout() + self.verticalLayout_2.setObjectName(_fromUtf8("verticalLayout_2")) + self.horizontalLayout_4 = QtGui.QHBoxLayout() + self.horizontalLayout_4.setObjectName(_fromUtf8("horizontalLayout_4")) + self.verticalLayout_3 = QtGui.QVBoxLayout() + self.verticalLayout_3.setObjectName(_fromUtf8("verticalLayout_3")) + self.label = QtGui.QLabel(Dialog) + self.label.setObjectName(_fromUtf8("label")) + self.verticalLayout_3.addWidget(self.label) + self.child_mode = QtGui.QComboBox(Dialog) + self.child_mode.setObjectName(_fromUtf8("child_mode")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.verticalLayout_3.addWidget(self.child_mode) + self.horizontalLayout_4.addLayout(self.verticalLayout_3) + self.verticalLayout_9 = QtGui.QVBoxLayout() + self.verticalLayout_9.setObjectName(_fromUtf8("verticalLayout_9")) + self.label_7 = QtGui.QLabel(Dialog) + self.label_7.setObjectName(_fromUtf8("label_7")) + self.verticalLayout_9.addWidget(self.label_7) + self.selection_mode = QtGui.QComboBox(Dialog) + self.selection_mode.setObjectName(_fromUtf8("selection_mode")) + self.selection_mode.addItem(_fromUtf8("")) + self.selection_mode.addItem(_fromUtf8("")) + self.verticalLayout_9.addWidget(self.selection_mode) + self.horizontalLayout_4.addLayout(self.verticalLayout_9) + self.verticalLayout_4 = QtGui.QVBoxLayout() + self.verticalLayout_4.setObjectName(_fromUtf8("verticalLayout_4")) + self.label_2 = QtGui.QLabel(Dialog) + self.label_2.setObjectName(_fromUtf8("label_2")) + self.verticalLayout_4.addWidget(self.label_2) + self.mute = QtGui.QSpinBox(Dialog) + self.mute.setMinimum(0) + self.mute.setMaximum(100) + self.mute.setProperty("value", 2) + self.mute.setObjectName(_fromUtf8("mute")) + self.verticalLayout_4.addWidget(self.mute) + self.horizontalLayout_4.addLayout(self.verticalLayout_4) + self.verticalLayout_5 = QtGui.QVBoxLayout() + self.verticalLayout_5.setObjectName(_fromUtf8("verticalLayout_5")) + self.label_3 = QtGui.QLabel(Dialog) + self.label_3.setObjectName(_fromUtf8("label_3")) + self.verticalLayout_5.addWidget(self.label_3) + self.elitism = QtGui.QSpinBox(Dialog) + self.elitism.setMaximum(100) + self.elitism.setProperty("value", 10) + self.elitism.setObjectName(_fromUtf8("elitism")) + self.verticalLayout_5.addWidget(self.elitism) + self.horizontalLayout_4.addLayout(self.verticalLayout_5) + self.verticalLayout_6 = QtGui.QVBoxLayout() + self.verticalLayout_6.setObjectName(_fromUtf8("verticalLayout_6")) + self.label_4 = QtGui.QLabel(Dialog) + self.label_4.setObjectName(_fromUtf8("label_4")) + self.verticalLayout_6.addWidget(self.label_4) + self.size_pool = QtGui.QSpinBox(Dialog) + self.size_pool.setMaximum(100000) + self.size_pool.setSingleStep(10) + self.size_pool.setProperty("value", 1000) + self.size_pool.setObjectName(_fromUtf8("size_pool")) + self.verticalLayout_6.addWidget(self.size_pool) + self.horizontalLayout_4.addLayout(self.verticalLayout_6) + self.verticalLayout_7 = QtGui.QVBoxLayout() + self.verticalLayout_7.setObjectName(_fromUtf8("verticalLayout_7")) + self.label_5 = QtGui.QLabel(Dialog) + self.label_5.setObjectName(_fromUtf8("label_5")) + self.verticalLayout_7.addWidget(self.label_5) + self.cities = QtGui.QSpinBox(Dialog) + self.cities.setMinimum(10) + self.cities.setMaximum(200) + self.cities.setProperty("value", 10) + self.cities.setObjectName(_fromUtf8("cities")) + self.verticalLayout_7.addWidget(self.cities) + self.horizontalLayout_4.addLayout(self.verticalLayout_7) + self.high_low = QtGui.QCheckBox(Dialog) + self.high_low.setObjectName(_fromUtf8("high_low")) + self.horizontalLayout_4.addWidget(self.high_low) + self.verticalLayout_2.addLayout(self.horizontalLayout_4) + self.verticalLayout.addLayout(self.verticalLayout_2) + self.dist = QtGui.QLabel(Dialog) + self.dist.setObjectName(_fromUtf8("dist")) + self.verticalLayout.addWidget(self.dist) + self.graphicsView = QtGui.QGraphicsView(Dialog) + self.graphicsView.setObjectName(_fromUtf8("graphicsView")) + self.verticalLayout.addWidget(self.graphicsView) + self.horizontalLayout = QtGui.QHBoxLayout() + self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) + self.stop = QtGui.QPushButton(Dialog) + self.stop.setObjectName(_fromUtf8("stop")) + self.horizontalLayout.addWidget(self.stop) + self.init = QtGui.QPushButton(Dialog) + self.init.setObjectName(_fromUtf8("init")) + self.horizontalLayout.addWidget(self.init) + self.start = QtGui.QPushButton(Dialog) + self.start.setObjectName(_fromUtf8("start")) + self.horizontalLayout.addWidget(self.start) + self.verticalLayout.addLayout(self.horizontalLayout) + + self.retranslateUi(Dialog) + QtCore.QMetaObject.connectSlotsByName(Dialog) + + def retranslateUi(self, Dialog): + Dialog.setWindowTitle(_translate("Dialog", "Dialog", None)) + self.label.setText(_translate("Dialog", "CHILD MODE", None)) + self.child_mode.setItemText(0, _translate("Dialog", "CHILD_FLIP", None)) + self.child_mode.setItemText(1, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_DETERMINISTIC", None)) + self.child_mode.setItemText(2, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_PROBABILISTIC", None)) + self.child_mode.setItemText(3, _translate("Dialog", "CHILD_SPLIT", None)) + self.child_mode.setItemText(4, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_DETERMINISTIC", None)) + self.child_mode.setItemText(5, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_PROBABILISTIC", None)) + self.child_mode.setItemText(6, _translate("Dialog", "CHILD_MEAN", None)) + self.label_7.setText(_translate("Dialog", "SELECTION MODE", None)) + self.selection_mode.setItemText(0, _translate("Dialog", "FILL", None)) + self.selection_mode.setItemText(1, _translate("Dialog", "ROULETTE", None)) + self.label_2.setText(_translate("Dialog", "MUTE %", None)) + self.label_3.setText(_translate("Dialog", "ELITISM %", None)) + self.label_4.setText(_translate("Dialog", "SIZE POOL", None)) + self.label_5.setText(_translate("Dialog", "CITIES", None)) + self.high_low.setText(_translate("Dialog", "Sort high to low", None)) + self.dist.setText(_translate("Dialog", "TextLabel", None)) + self.stop.setText(_translate("Dialog", "Stop", None)) + self.init.setText(_translate("Dialog", "Init", None)) + self.start.setText(_translate("Dialog", "Start", None)) + From 5ac7495a58f0f1c72e5c005e2e98d9ff9f1f200c Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 11 Dec 2016 19:24:11 +0100 Subject: [PATCH 20/47] Add gui.py --- gui.py | 158 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 158 insertions(+) create mode 100644 gui.py diff --git a/gui.py b/gui.py new file mode 100644 index 0000000..d94ac35 --- /dev/null +++ b/gui.py @@ -0,0 +1,158 @@ +# -*- coding: utf-8 -*- + +# Form implementation generated from reading ui file 'gui.ui' +# +# Created by: PyQt4 UI code generator 4.11.4 +# +# WARNING! All changes made in this file will be lost! + +from PyQt4 import QtCore, QtGui + +try: + _fromUtf8 = QtCore.QString.fromUtf8 +except AttributeError: + def _fromUtf8(s): + return s + +try: + _encoding = QtGui.QApplication.UnicodeUTF8 + def _translate(context, text, disambig): + return QtGui.QApplication.translate(context, text, disambig, _encoding) +except AttributeError: + def _translate(context, text, disambig): + return QtGui.QApplication.translate(context, text, disambig) + +class Ui_Dialog(object): + def setupUi(self, Dialog): + Dialog.setObjectName(_fromUtf8("Dialog")) + Dialog.resize(812, 537) + self.verticalLayout = QtGui.QVBoxLayout(Dialog) + self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) + self.verticalLayout_2 = QtGui.QVBoxLayout() + self.verticalLayout_2.setObjectName(_fromUtf8("verticalLayout_2")) + self.horizontalLayout_4 = QtGui.QHBoxLayout() + self.horizontalLayout_4.setObjectName(_fromUtf8("horizontalLayout_4")) + self.verticalLayout_3 = QtGui.QVBoxLayout() + self.verticalLayout_3.setObjectName(_fromUtf8("verticalLayout_3")) + self.label = QtGui.QLabel(Dialog) + self.label.setObjectName(_fromUtf8("label")) + self.verticalLayout_3.addWidget(self.label) + self.child_mode = QtGui.QComboBox(Dialog) + self.child_mode.setObjectName(_fromUtf8("child_mode")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.child_mode.addItem(_fromUtf8("")) + self.verticalLayout_3.addWidget(self.child_mode) + self.horizontalLayout_4.addLayout(self.verticalLayout_3) + self.verticalLayout_9 = QtGui.QVBoxLayout() + self.verticalLayout_9.setObjectName(_fromUtf8("verticalLayout_9")) + self.label_7 = QtGui.QLabel(Dialog) + self.label_7.setObjectName(_fromUtf8("label_7")) + self.verticalLayout_9.addWidget(self.label_7) + self.selection_mode = QtGui.QComboBox(Dialog) + self.selection_mode.setObjectName(_fromUtf8("selection_mode")) + self.selection_mode.addItem(_fromUtf8("")) + self.selection_mode.addItem(_fromUtf8("")) + self.verticalLayout_9.addWidget(self.selection_mode) + self.horizontalLayout_4.addLayout(self.verticalLayout_9) + self.verticalLayout_4 = QtGui.QVBoxLayout() + self.verticalLayout_4.setObjectName(_fromUtf8("verticalLayout_4")) + self.label_2 = QtGui.QLabel(Dialog) + self.label_2.setObjectName(_fromUtf8("label_2")) + self.verticalLayout_4.addWidget(self.label_2) + self.mute = QtGui.QSpinBox(Dialog) + self.mute.setMinimum(0) + self.mute.setMaximum(100) + self.mute.setProperty("value", 2) + self.mute.setObjectName(_fromUtf8("mute")) + self.verticalLayout_4.addWidget(self.mute) + self.horizontalLayout_4.addLayout(self.verticalLayout_4) + self.verticalLayout_5 = QtGui.QVBoxLayout() + self.verticalLayout_5.setObjectName(_fromUtf8("verticalLayout_5")) + self.label_3 = QtGui.QLabel(Dialog) + self.label_3.setObjectName(_fromUtf8("label_3")) + self.verticalLayout_5.addWidget(self.label_3) + self.elitism = QtGui.QSpinBox(Dialog) + self.elitism.setMaximum(100) + self.elitism.setProperty("value", 10) + self.elitism.setObjectName(_fromUtf8("elitism")) + self.verticalLayout_5.addWidget(self.elitism) + self.horizontalLayout_4.addLayout(self.verticalLayout_5) + self.verticalLayout_6 = QtGui.QVBoxLayout() + self.verticalLayout_6.setObjectName(_fromUtf8("verticalLayout_6")) + self.label_4 = QtGui.QLabel(Dialog) + self.label_4.setObjectName(_fromUtf8("label_4")) + self.verticalLayout_6.addWidget(self.label_4) + self.size_pool = QtGui.QSpinBox(Dialog) + self.size_pool.setMaximum(100000) + self.size_pool.setSingleStep(10) + self.size_pool.setProperty("value", 1000) + self.size_pool.setObjectName(_fromUtf8("size_pool")) + self.verticalLayout_6.addWidget(self.size_pool) + self.horizontalLayout_4.addLayout(self.verticalLayout_6) + self.verticalLayout_7 = QtGui.QVBoxLayout() + self.verticalLayout_7.setObjectName(_fromUtf8("verticalLayout_7")) + self.label_5 = QtGui.QLabel(Dialog) + self.label_5.setObjectName(_fromUtf8("label_5")) + self.verticalLayout_7.addWidget(self.label_5) + self.cities = QtGui.QSpinBox(Dialog) + self.cities.setMinimum(10) + self.cities.setMaximum(200) + self.cities.setProperty("value", 10) + self.cities.setObjectName(_fromUtf8("cities")) + self.verticalLayout_7.addWidget(self.cities) + self.horizontalLayout_4.addLayout(self.verticalLayout_7) + self.high_low = QtGui.QCheckBox(Dialog) + self.high_low.setObjectName(_fromUtf8("high_low")) + self.horizontalLayout_4.addWidget(self.high_low) + self.verticalLayout_2.addLayout(self.horizontalLayout_4) + self.verticalLayout.addLayout(self.verticalLayout_2) + self.dist = QtGui.QLabel(Dialog) + self.dist.setObjectName(_fromUtf8("dist")) + self.verticalLayout.addWidget(self.dist) + self.graphicsView = QtGui.QGraphicsView(Dialog) + self.graphicsView.setObjectName(_fromUtf8("graphicsView")) + self.verticalLayout.addWidget(self.graphicsView) + self.horizontalLayout = QtGui.QHBoxLayout() + self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) + self.stop = QtGui.QPushButton(Dialog) + self.stop.setObjectName(_fromUtf8("stop")) + self.horizontalLayout.addWidget(self.stop) + self.init = QtGui.QPushButton(Dialog) + self.init.setObjectName(_fromUtf8("init")) + self.horizontalLayout.addWidget(self.init) + self.start = QtGui.QPushButton(Dialog) + self.start.setObjectName(_fromUtf8("start")) + self.horizontalLayout.addWidget(self.start) + self.verticalLayout.addLayout(self.horizontalLayout) + + self.retranslateUi(Dialog) + QtCore.QMetaObject.connectSlotsByName(Dialog) + + def retranslateUi(self, Dialog): + Dialog.setWindowTitle(_translate("Dialog", "Dialog", None)) + self.label.setText(_translate("Dialog", "CHILD MODE", None)) + self.child_mode.setItemText(0, _translate("Dialog", "CHILD_FLIP", None)) + self.child_mode.setItemText(1, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_DETERMINISTIC", None)) + self.child_mode.setItemText(2, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_PROBABILISTIC", None)) + self.child_mode.setItemText(3, _translate("Dialog", "CHILD_SPLIT", None)) + self.child_mode.setItemText(4, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_DETERMINISTIC", None)) + self.child_mode.setItemText(5, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_PROBABILISTIC", None)) + self.child_mode.setItemText(6, _translate("Dialog", "CHILD_MEAN", None)) + self.label_7.setText(_translate("Dialog", "SELECTION MODE", None)) + self.selection_mode.setItemText(0, _translate("Dialog", "FILL", None)) + self.selection_mode.setItemText(1, _translate("Dialog", "ROULETTE", None)) + self.label_2.setText(_translate("Dialog", "MUTE %", None)) + self.label_3.setText(_translate("Dialog", "ELITISM %", None)) + self.label_4.setText(_translate("Dialog", "SIZE POOL", None)) + self.label_5.setText(_translate("Dialog", "CITIES", None)) + self.high_low.setText(_translate("Dialog", "Sort high to low", None)) + self.dist.setText(_translate("Dialog", "TextLabel", None)) + self.stop.setText(_translate("Dialog", "Stop", None)) + self.init.setText(_translate("Dialog", "Init", None)) + self.start.setText(_translate("Dialog", "Start", None)) + From f50015bc869a0e80f635f1145e4e940fee99ac2f Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 11 Dec 2016 19:34:35 +0100 Subject: [PATCH 21/47] Update Start raise exception --- Genetic_Algorithm.py | 4 ++++ gui.py | 2 +- 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/Genetic_Algorithm.py b/Genetic_Algorithm.py index 1560f06..dbb2c43 100644 --- a/Genetic_Algorithm.py +++ b/Genetic_Algorithm.py @@ -635,6 +635,10 @@ def start(self,period=100): Run a timer with period, this timer is connect with Function main that run the algorithm :param period: """ + if self.__FUN_FITNESS is None: + a = GenecticException + a.what = "Error: It is necessary to initialize the parameters with setattrGeneticAlgorithm" + raise a if DEBUG: print inspect.stack()[0][3] self.timer.start(period) diff --git a/gui.py b/gui.py index d94ac35..8be12bd 100644 --- a/gui.py +++ b/gui.py @@ -6,7 +6,7 @@ # # WARNING! All changes made in this file will be lost! -from PyQt4 import QtCore, QtGui +from PySide import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 From a80caff70c249e315b3cb87ae0ba7e9e0afc761e Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 11 Dec 2016 19:46:47 +0100 Subject: [PATCH 22/47] Upgrade package --- libGeneticAlgorithm/Genetic_Algorithm.py | 8 +------- libGeneticAlgorithm/__init__.py | 7 +++++++ main.py | 3 +-- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/libGeneticAlgorithm/Genetic_Algorithm.py b/libGeneticAlgorithm/Genetic_Algorithm.py index 0b34b4e..3253830 100644 --- a/libGeneticAlgorithm/Genetic_Algorithm.py +++ b/libGeneticAlgorithm/Genetic_Algorithm.py @@ -1,10 +1,4 @@ -import copy -import inspect -import math -from PySide import QtCore -from __builtin__ import str -from random import * -from time import * +from __init__ import * DEBUG = False diff --git a/libGeneticAlgorithm/__init__.py b/libGeneticAlgorithm/__init__.py index e69de29..3e9c271 100644 --- a/libGeneticAlgorithm/__init__.py +++ b/libGeneticAlgorithm/__init__.py @@ -0,0 +1,7 @@ +import copy, inspect, math +from PySide import QtCore +from __builtin__ import str +from random import * +from time import * +from Genetic_Algorithm import * +from Chromosome import * \ No newline at end of file diff --git a/main.py b/main.py index c7b51bd..eaaddef 100644 --- a/main.py +++ b/main.py @@ -1,8 +1,7 @@ import sys from gui import * -from libGeneticAlgorithm.Chromosome import * -from libGeneticAlgorithm.Genetic_Algorithm import * +from libGeneticAlgorithm import * from scene import * pcities = [ From b88cf96cac39a02837d397620f187bceb3d9e8e4 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 11 Dec 2016 19:52:40 +0100 Subject: [PATCH 23/47] Create driectori examples and Traveling_Salesman_Problem --- examples/Traveling_Salesman_Problem/__init__.py | 0 gui.py => examples/Traveling_Salesman_Problem/gui.py | 0 gui.ui => examples/Traveling_Salesman_Problem/gui.ui | 0 main.py => examples/Traveling_Salesman_Problem/main.py | 0 scene.py => examples/Traveling_Salesman_Problem/scene.py | 0 examples/__init__.py | 0 6 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 examples/Traveling_Salesman_Problem/__init__.py rename gui.py => examples/Traveling_Salesman_Problem/gui.py (100%) rename gui.ui => examples/Traveling_Salesman_Problem/gui.ui (100%) rename main.py => examples/Traveling_Salesman_Problem/main.py (100%) rename scene.py => examples/Traveling_Salesman_Problem/scene.py (100%) create mode 100644 examples/__init__.py diff --git a/examples/Traveling_Salesman_Problem/__init__.py b/examples/Traveling_Salesman_Problem/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/gui.py b/examples/Traveling_Salesman_Problem/gui.py similarity index 100% rename from gui.py rename to examples/Traveling_Salesman_Problem/gui.py diff --git a/gui.ui b/examples/Traveling_Salesman_Problem/gui.ui similarity index 100% rename from gui.ui rename to examples/Traveling_Salesman_Problem/gui.ui diff --git a/main.py b/examples/Traveling_Salesman_Problem/main.py similarity index 100% rename from main.py rename to examples/Traveling_Salesman_Problem/main.py diff --git a/scene.py b/examples/Traveling_Salesman_Problem/scene.py similarity index 100% rename from scene.py rename to examples/Traveling_Salesman_Problem/scene.py diff --git a/examples/__init__.py b/examples/__init__.py new file mode 100644 index 0000000..e69de29 From 0035491958a20d484e51e1c693b0cc5321780b38 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Sun, 11 Dec 2016 20:22:20 +0100 Subject: [PATCH 24/47] Adde setup.py for install package system --- setup.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 setup.py diff --git a/setup.py b/setup.py new file mode 100644 index 0000000..d0cfab3 --- /dev/null +++ b/setup.py @@ -0,0 +1,13 @@ +from distutils.core import setup + + +setup(name="Aplicacion de ejemplo", + version="0.1", + description="Library of Genetic Algorithm", + author="Ivan Barbecho and Juan Pedro Torres", +# author_email="", +# url="", + license="GPL", +# scripts=["ejemplo.py"], + packages=["libGeneticAlgorithm"] + ) \ No newline at end of file From 23ef893c544ebc581d1c0ce047f6c9336d32fc94 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 12 Dec 2016 11:07:08 +0100 Subject: [PATCH 25/47] update version GeneticAlgorithm-gui --- GeneticAlgorithm-gui/Genetic_Algorithm-gui.py | 64 ++++++ GeneticAlgorithm-gui/__init__.py | 0 GeneticAlgorithm-gui/gui.py | 209 ++++++++++++++++++ .../Chromosome.py | 0 GeneticAlgorithm/Chromosome.pyc | Bin 0 -> 1099 bytes .../Genetic_Algorithm.py | 0 GeneticAlgorithm/Genetic_Algorithm.pyc | Bin 0 -> 26234 bytes .../__init__.py | 0 GeneticAlgorithm/__init__.pyc | Bin 0 -> 448 bytes examples/Traveling_Salesman_Problem/main.py | 2 +- setup.py | 2 +- 11 files changed, 275 insertions(+), 2 deletions(-) create mode 100644 GeneticAlgorithm-gui/Genetic_Algorithm-gui.py create mode 100644 GeneticAlgorithm-gui/__init__.py create mode 100644 GeneticAlgorithm-gui/gui.py rename {libGeneticAlgorithm => GeneticAlgorithm}/Chromosome.py (100%) create mode 100644 GeneticAlgorithm/Chromosome.pyc rename {libGeneticAlgorithm => GeneticAlgorithm}/Genetic_Algorithm.py (100%) create mode 100644 GeneticAlgorithm/Genetic_Algorithm.pyc rename {libGeneticAlgorithm => GeneticAlgorithm}/__init__.py (100%) create mode 100644 GeneticAlgorithm/__init__.pyc diff --git a/GeneticAlgorithm-gui/Genetic_Algorithm-gui.py b/GeneticAlgorithm-gui/Genetic_Algorithm-gui.py new file mode 100644 index 0000000..2408614 --- /dev/null +++ b/GeneticAlgorithm-gui/Genetic_Algorithm-gui.py @@ -0,0 +1,64 @@ +from GeneticAlgorithm import * +from gui import * +import sys,os + + +def _checkStatetobool(checkbox): + return checkbox.checkState() is QtCore.Qt.CheckState.Checked + +def _getChildMode(index): + childs_mode=[CHILD_FLIP,CHILD_SPLIT,CHILD_FLIP_TOURNAMENT_DETERMINISTIC,CHILD_FLIP_TOURNAMENT_PROBABILISTIC,CHILD_MEAN, + CHILD_SPLIT_TOURNAMENT_DETERMINISTIC,CHILD_SPLIT_TOURNAMENT_PROBABILISTIC] + return childs_mode[index] + +def _getSelectionMode(index): + selections_mode=[FILL_NEXT_GENERATION,ROULETTE] + return selections_mode[index] + +class GeneticAlgorithm_gui(GeneticAlgorithm): + + def __init__(self): + GeneticAlgorithm.__init__(self) + app = QtGui.QApplication(sys.argv) + self.Dialog = QtGui.QDialog() + self.ui = Ui_Dialog() + self.ui.setupUi(self.Dialog) + self.Dialog.showMaximized() + QtCore.QTimer.connect(self.ui.Aceptar_Cancelar, QtCore.SIGNAL("accepted()"), self.Aceptar) + QtCore.QTimer.connect(self.ui.Aceptar_Cancelar, QtCore.SIGNAL("rejected()"), self.Cancelar) + app.exec_() + + def Aceptar(self): + f = open("temp_Fun_fitness.py", 'w') + f.write(self.ui.Funt_Fitness.toPlainText()) + f.close() + import temp_Fun_fitness + fun_fitness = temp_Fun_fitness.Fitness + if _checkStatetobool(self.ui.Chrm_is_F): + maxv = float(self.ui.Chrm_max.text()) + minv = float(self.ui.Chrm_min.text()) + else: + maxv = int(self.ui.Chrm_max.text()) + minv = int(self.ui.Chrm_min.text()) + chrom = chromosome_t(self.ui.N_Chrom.value(), maxvalue=maxv, minvalue=minv, + chromosomes_is_float=_checkStatetobool(self.ui.Chrm_is_F)) + GeneticAlgorithm.setattrGeneticAlgorithm(self, fun_fitness, chromosomes=chrom, itmax=self.ui.Itmax.value(), + child_type=_getChildMode(self.ui.Child_mode.currentIndex()), + selection_type=_getSelectionMode(self.ui.Selection_mode.currentIndex()), + High_Low=_checkStatetobool(self.ui.High_Low), + size_pool=self.ui.Size_of_pool.value(), + porcent_elitism=self.ui.Elitism.value(), porcent_mute=self.ui.Mute.value(), + can_repeated_chro=_checkStatetobool(self.ui.Chrm_can_repetead)) + self.Dialog.close() + + def Cancelar(self): + self.Dialog.close() + self.__del__() + + def __del__(self): + try: + os.remove("temp_Fun_fitness.py") + except: + pass + +ga=GeneticAlgorithm_gui() diff --git a/GeneticAlgorithm-gui/__init__.py b/GeneticAlgorithm-gui/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/GeneticAlgorithm-gui/gui.py b/GeneticAlgorithm-gui/gui.py new file mode 100644 index 0000000..5575d56 --- /dev/null +++ b/GeneticAlgorithm-gui/gui.py @@ -0,0 +1,209 @@ +# -*- coding: utf-8 -*- + +# Form implementation generated from reading ui file 'gui.ui' +# +# Created by: PyQt4 UI code generator 4.11.4 +# +# WARNING! All changes made in this file will be lost! + +from PySide import QtCore, QtGui + +try: + _fromUtf8 = QtCore.QString.fromUtf8 +except AttributeError: + def _fromUtf8(s): + return s + +try: + _encoding = QtGui.QApplication.UnicodeUTF8 + def _translate(context, text, disambig): + return QtGui.QApplication.translate(context, text, disambig, _encoding) +except AttributeError: + def _translate(context, text, disambig): + return QtGui.QApplication.translate(context, text, disambig) + +class Ui_Dialog(object): + def setupUi(self, Dialog): + Dialog.setObjectName(_fromUtf8("Dialog")) + Dialog.resize(872, 571) + self.verticalLayout = QtGui.QVBoxLayout(Dialog) + self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) + self.horizontalLayout = QtGui.QHBoxLayout() + self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) + self.frame_2 = QtGui.QFrame(Dialog) + sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Preferred) + sizePolicy.setHorizontalStretch(0) + sizePolicy.setVerticalStretch(0) + sizePolicy.setHeightForWidth(self.frame_2.sizePolicy().hasHeightForWidth()) + self.frame_2.setSizePolicy(sizePolicy) + self.frame_2.setFrameShape(QtGui.QFrame.StyledPanel) + self.frame_2.setFrameShadow(QtGui.QFrame.Raised) + self.frame_2.setObjectName(_fromUtf8("frame_2")) + self.verticalLayout_2 = QtGui.QVBoxLayout(self.frame_2) + self.verticalLayout_2.setObjectName(_fromUtf8("verticalLayout_2")) + self.label = QtGui.QLabel(self.frame_2) + self.label.setMaximumSize(QtCore.QSize(16777215, 20)) + self.label.setObjectName(_fromUtf8("label")) + self.verticalLayout_2.addWidget(self.label) + self.formLayout_2 = QtGui.QFormLayout() + self.formLayout_2.setFieldGrowthPolicy(QtGui.QFormLayout.AllNonFixedFieldsGrow) + self.formLayout_2.setObjectName(_fromUtf8("formLayout_2")) + self.label_3 = QtGui.QLabel(self.frame_2) + self.label_3.setObjectName(_fromUtf8("label_3")) + self.formLayout_2.setWidget(0, QtGui.QFormLayout.LabelRole, self.label_3) + self.N_Chrom = QtGui.QSpinBox(self.frame_2) + self.N_Chrom.setObjectName(_fromUtf8("N_Chrom")) + self.formLayout_2.setWidget(0, QtGui.QFormLayout.FieldRole, self.N_Chrom) + self.label_5 = QtGui.QLabel(self.frame_2) + self.label_5.setObjectName(_fromUtf8("label_5")) + self.formLayout_2.setWidget(1, QtGui.QFormLayout.LabelRole, self.label_5) + self.Chrm_is_F = QtGui.QCheckBox(self.frame_2) + self.Chrm_is_F.setText(_fromUtf8("")) + self.Chrm_is_F.setObjectName(_fromUtf8("Chrm_is_F")) + self.formLayout_2.setWidget(1, QtGui.QFormLayout.FieldRole, self.Chrm_is_F) + self.label_6 = QtGui.QLabel(self.frame_2) + self.label_6.setObjectName(_fromUtf8("label_6")) + self.formLayout_2.setWidget(2, QtGui.QFormLayout.LabelRole, self.label_6) + self.Chrm_min = QtGui.QLineEdit(self.frame_2) + self.Chrm_min.setObjectName(_fromUtf8("Chrm_min")) + self.formLayout_2.setWidget(2, QtGui.QFormLayout.FieldRole, self.Chrm_min) + self.label_7 = QtGui.QLabel(self.frame_2) + self.label_7.setObjectName(_fromUtf8("label_7")) + self.formLayout_2.setWidget(3, QtGui.QFormLayout.LabelRole, self.label_7) + self.Chrm_max = QtGui.QLineEdit(self.frame_2) + self.Chrm_max.setObjectName(_fromUtf8("Chrm_max")) + self.formLayout_2.setWidget(3, QtGui.QFormLayout.FieldRole, self.Chrm_max) + self.verticalLayout_2.addLayout(self.formLayout_2) + self.horizontalLayout.addWidget(self.frame_2) + self.frame = QtGui.QFrame(Dialog) + sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) + sizePolicy.setHorizontalStretch(0) + sizePolicy.setVerticalStretch(0) + sizePolicy.setHeightForWidth(self.frame.sizePolicy().hasHeightForWidth()) + self.frame.setSizePolicy(sizePolicy) + self.frame.setFrameShape(QtGui.QFrame.StyledPanel) + self.frame.setFrameShadow(QtGui.QFrame.Raised) + self.frame.setObjectName(_fromUtf8("frame")) + self.verticalLayout_3 = QtGui.QVBoxLayout(self.frame) + self.verticalLayout_3.setObjectName(_fromUtf8("verticalLayout_3")) + self.label_2 = QtGui.QLabel(self.frame) + self.label_2.setMaximumSize(QtCore.QSize(16777215, 20)) + self.label_2.setObjectName(_fromUtf8("label_2")) + self.verticalLayout_3.addWidget(self.label_2) + self.formLayout_3 = QtGui.QFormLayout() + self.formLayout_3.setFieldGrowthPolicy(QtGui.QFormLayout.AllNonFixedFieldsGrow) + self.formLayout_3.setObjectName(_fromUtf8("formLayout_3")) + self.label_4 = QtGui.QLabel(self.frame) + self.label_4.setObjectName(_fromUtf8("label_4")) + self.formLayout_3.setWidget(0, QtGui.QFormLayout.LabelRole, self.label_4) + self.Size_of_pool = QtGui.QSpinBox(self.frame) + self.Size_of_pool.setObjectName(_fromUtf8("Size_of_pool")) + self.formLayout_3.setWidget(0, QtGui.QFormLayout.FieldRole, self.Size_of_pool) + self.label_8 = QtGui.QLabel(self.frame) + self.label_8.setObjectName(_fromUtf8("label_8")) + self.formLayout_3.setWidget(1, QtGui.QFormLayout.LabelRole, self.label_8) + self.Child_mode = QtGui.QComboBox(self.frame) + self.Child_mode.setObjectName(_fromUtf8("Child_mode")) + self.Child_mode.addItem(_fromUtf8("")) + self.Child_mode.addItem(_fromUtf8("")) + self.Child_mode.addItem(_fromUtf8("")) + self.Child_mode.addItem(_fromUtf8("")) + self.Child_mode.addItem(_fromUtf8("")) + self.Child_mode.addItem(_fromUtf8("")) + self.Child_mode.addItem(_fromUtf8("")) + self.formLayout_3.setWidget(1, QtGui.QFormLayout.FieldRole, self.Child_mode) + self.label_9 = QtGui.QLabel(self.frame) + self.label_9.setObjectName(_fromUtf8("label_9")) + self.formLayout_3.setWidget(2, QtGui.QFormLayout.LabelRole, self.label_9) + self.Selection_mode = QtGui.QComboBox(self.frame) + self.Selection_mode.setObjectName(_fromUtf8("Selection_mode")) + self.formLayout_3.setWidget(2, QtGui.QFormLayout.FieldRole, self.Selection_mode) + self.label_10 = QtGui.QLabel(self.frame) + self.label_10.setObjectName(_fromUtf8("label_10")) + self.formLayout_3.setWidget(3, QtGui.QFormLayout.LabelRole, self.label_10) + self.Itmax = QtGui.QSpinBox(self.frame) + self.Itmax.setObjectName(_fromUtf8("Itmax")) + self.formLayout_3.setWidget(3, QtGui.QFormLayout.FieldRole, self.Itmax) + self.label_11 = QtGui.QLabel(self.frame) + self.label_11.setObjectName(_fromUtf8("label_11")) + self.formLayout_3.setWidget(4, QtGui.QFormLayout.LabelRole, self.label_11) + self.High_Low = QtGui.QCheckBox(self.frame) + self.High_Low.setText(_fromUtf8("")) + self.High_Low.setObjectName(_fromUtf8("High_Low")) + self.formLayout_3.setWidget(4, QtGui.QFormLayout.FieldRole, self.High_Low) + self.label_14 = QtGui.QLabel(self.frame) + self.label_14.setObjectName(_fromUtf8("label_14")) + self.formLayout_3.setWidget(5, QtGui.QFormLayout.LabelRole, self.label_14) + self.Chrm_can_repetead = QtGui.QCheckBox(self.frame) + self.Chrm_can_repetead.setText(_fromUtf8("")) + self.Chrm_can_repetead.setObjectName(_fromUtf8("Chrm_can_repetead")) + self.formLayout_3.setWidget(5, QtGui.QFormLayout.FieldRole, self.Chrm_can_repetead) + self.label_12 = QtGui.QLabel(self.frame) + self.label_12.setObjectName(_fromUtf8("label_12")) + self.formLayout_3.setWidget(6, QtGui.QFormLayout.LabelRole, self.label_12) + self.Elitism = QtGui.QSpinBox(self.frame) + self.Elitism.setObjectName(_fromUtf8("Elitism")) + self.formLayout_3.setWidget(6, QtGui.QFormLayout.FieldRole, self.Elitism) + self.label_13 = QtGui.QLabel(self.frame) + self.label_13.setObjectName(_fromUtf8("label_13")) + self.formLayout_3.setWidget(7, QtGui.QFormLayout.LabelRole, self.label_13) + self.Mute = QtGui.QSpinBox(self.frame) + self.Mute.setObjectName(_fromUtf8("Mute")) + self.formLayout_3.setWidget(7, QtGui.QFormLayout.FieldRole, self.Mute) + self.label_15 = QtGui.QLabel(self.frame) + self.label_15.setObjectName(_fromUtf8("label_15")) + self.formLayout_3.setWidget(8, QtGui.QFormLayout.LabelRole, self.label_15) + self.Funt_Fitness = QtGui.QPlainTextEdit(self.frame) + sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Maximum) + sizePolicy.setHorizontalStretch(0) + sizePolicy.setVerticalStretch(0) + sizePolicy.setHeightForWidth(self.Funt_Fitness.sizePolicy().hasHeightForWidth()) + self.Funt_Fitness.setSizePolicy(sizePolicy) + self.Funt_Fitness.setObjectName(_fromUtf8("Funt_Fitness")) + self.formLayout_3.setWidget(8, QtGui.QFormLayout.FieldRole, self.Funt_Fitness) + self.verticalLayout_3.addLayout(self.formLayout_3) + self.horizontalLayout.addWidget(self.frame) + self.verticalLayout.addLayout(self.horizontalLayout) + self.Aceptar_Cancelar = QtGui.QDialogButtonBox(Dialog) + self.Aceptar_Cancelar.setOrientation(QtCore.Qt.Horizontal) + self.Aceptar_Cancelar.setStandardButtons(QtGui.QDialogButtonBox.Cancel|QtGui.QDialogButtonBox.Ok) + self.Aceptar_Cancelar.setObjectName(_fromUtf8("Aceptar_Cancelar")) + self.verticalLayout.addWidget(self.Aceptar_Cancelar) + + self.retranslateUi(Dialog) + QtCore.QMetaObject.connectSlotsByName(Dialog) + + def retranslateUi(self, Dialog): + Dialog.setWindowTitle(_translate("Dialog", "Dialog", None)) + self.label.setText(_translate("Dialog", "Chromosome params", None)) + self.label_3.setText(_translate("Dialog", "Number of Chromosomes", None)) + self.label_5.setText(_translate("Dialog", "Value of Chromosome is float", None)) + self.label_6.setText(_translate("Dialog", "Minimum value", None)) + self.Chrm_min.setText(_translate("Dialog", "0", None)) + self.label_7.setText(_translate("Dialog", "Maximum value", None)) + self.Chrm_max.setText(_translate("Dialog", "0", None)) + self.label_2.setText(_translate("Dialog", "Parameters of Genetic Algorithm", None)) + self.label_4.setText(_translate("Dialog", "Size of pool", None)) + self.label_8.setText(_translate("Dialog", "Child mode", None)) + self.Child_mode.setItemText(0, _translate("Dialog", "CHILD FLIP", None)) + self.Child_mode.setItemText(1, _translate("Dialog", "CHILD_SPLIT", None)) + self.Child_mode.setItemText(2, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_DETERMINISTIC", None)) + self.Child_mode.setItemText(3, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_PROBABILISTIC", None)) + self.Child_mode.setItemText(4, _translate("Dialog", "CHILD_MEAN", None)) + self.Child_mode.setItemText(5, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_DETERMINISTIC", None)) + self.Child_mode.setItemText(6, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_PROBABILISTIC", None)) + self.label_9.setText(_translate("Dialog", "Selection mode", None)) + self.label_10.setText(_translate("Dialog", "It max", None)) + self.label_11.setText(_translate("Dialog", "Sort High to Low", None)) + self.label_14.setText(_translate("Dialog", "Chromosomes can be repeated", None)) + self.label_12.setText(_translate("Dialog", "Elitism", None)) + self.label_13.setText(_translate("Dialog", "Probability of mutating", None)) + self.label_15.setText(_translate("Dialog", "Function Fitness", None)) + self.Funt_Fitness.setPlainText(_translate("Dialog", "#Variables to calculate fitness\n" +"def Fitness(item):\n" +" \"\"\"\n" +" item is of type array of crhomosomes\n" +" Your code for calculate fitnness\n" +" \"\"\"\n" +" return fitness", None)) + diff --git a/libGeneticAlgorithm/Chromosome.py b/GeneticAlgorithm/Chromosome.py similarity index 100% rename from libGeneticAlgorithm/Chromosome.py rename to GeneticAlgorithm/Chromosome.py diff --git a/GeneticAlgorithm/Chromosome.pyc b/GeneticAlgorithm/Chromosome.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ac71ad2dea308d3e6af4d45e7d2b21a57ee69947 GIT binary patch literal 1099 zcmcIi&2G~`5FXp1)FHhgA@#J}e5&siLJbjxR;@t}ppwgKV{h;Zd$;ngBO>(%ufa3% zFuVXW>og6a2QIZdpXdM26a79I{`z@&Rlxd*@Oy$}pCOd^MoNr=NZZ&Op^iH z+z6qlTGJS78p+)z1zBGq*+T>gFbgOObICqe1hWC;(}YSXBq$ys5QRt+BzuBz6Tl4s zM+Sof__`16^IK&IIwn0iAV!`+9C&6x{?mlA*`okp$kxyCwP;1dG{5WH9y4W`t0dE1 zGnXwh3$|rNi*QV6rgW*6s_aC~Dq(jsHsae-)ScWULxpO(hIuXJ6kA#UiB@_iTIv6f z-s+Ys%NMl~&iC=5?IcqRKis{2umT60OXfp1O=SuF3b%)l@yXl#oueO`87xCFCd{IpL%QC8LqcYw@aEBB$dE9-^z2HaEhy>Fld_29vtBbQcq za;aJhoxYLSm@3Bg7t<zw}*TUHAj9Um70( literal 0 HcmV?d00001 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zcmZ8cNlwHt5Ns!zg#Z%#fkVWBd;lTP9N++G77i#ED~m;1@)9{cNO=c$KFI^1lMF$^ zZI`RMyS#*7r}4+<(`yNb5%7M?t8Ex6o&q#LHgN%&_{|591p^O2hhQSeA`rbN1U&;Y zhipFT2=oG8`Ubb;!CUKZ?HNGCA)1B8Jj6 z9W9ukZ5vh6kTf~f!zt@-hn3oL8K}2NS?p00S}C{FRX(?sGlP-PC_3lHdu0`2Dev@~ z^GLO!n6sKDi&U@VW2S9o5dJ8jJr8sg!7uq`czq YEcvi& Date: Mon, 12 Dec 2016 13:06:54 +0100 Subject: [PATCH 29/47] Upgrade version geneticAlgorithm-dev and example TSP --- GeneticAlgorithm-gui/__init__.py | 0 GeneticAlgorithm/Genetic_Algorithm.py | 30 +- .../Genetic_Algorithm_gui.py | 12 +- GeneticAlgorithm_gui/__init__.py | 1 + .../gui.py | 21 +- GeneticAlgorithm_gui/gui.ui | 334 ++++++++++++++++++ .../Traveling_Salesman_Problem/TSP_gui.py | 59 ++++ examples/Traveling_Salesman_Problem/gui.py | 158 --------- examples/Traveling_Salesman_Problem/gui.ui | 185 +--------- examples/Traveling_Salesman_Problem/main.py | 160 ++++----- 10 files changed, 500 insertions(+), 460 deletions(-) delete mode 100644 GeneticAlgorithm-gui/__init__.py rename GeneticAlgorithm-gui/Genetic_Algorithm-gui.py => GeneticAlgorithm_gui/Genetic_Algorithm_gui.py (94%) create mode 100644 GeneticAlgorithm_gui/__init__.py rename {GeneticAlgorithm-gui => GeneticAlgorithm_gui}/gui.py (95%) create mode 100644 GeneticAlgorithm_gui/gui.ui create mode 100644 examples/Traveling_Salesman_Problem/TSP_gui.py delete mode 100644 examples/Traveling_Salesman_Problem/gui.py diff --git a/GeneticAlgorithm-gui/__init__.py b/GeneticAlgorithm-gui/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/GeneticAlgorithm/Genetic_Algorithm.py b/GeneticAlgorithm/Genetic_Algorithm.py index 3253830..4e61e83 100644 --- a/GeneticAlgorithm/Genetic_Algorithm.py +++ b/GeneticAlgorithm/Genetic_Algorithm.py @@ -152,7 +152,7 @@ def __init__(self): self.__REVERSE = None self.__SELECTION_TYPE = None self.__SIZE_POOL = None - self.__N_CHROMOSOMES = None + self._N_CHROMOSOMES = None self.__FUN_FITNESS = None self.__ITMAX = None self.__TYPECHILD = None @@ -217,7 +217,7 @@ def setattrGeneticAlgorithm(self, fun_fitness, chromosomes, itmax = 50, child_ty self.__REVERSE = High_Low self.__SELECTION_TYPE = selection_type self.__SIZE_POOL = size_pool - self.__N_CHROMOSOMES = chromosomes.N_CHRO + self._N_CHROMOSOMES = chromosomes.N_CHRO self.__FUN_FITNESS = fun_fitness self.__ITMAX = itmax self.__TYPECHILD = child_type @@ -241,13 +241,13 @@ def __Generate_pool(self): if self.__CHRO_IS_F is False: if self.__CAN_REPETEAD_CHRO is False: ind = range(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) - new_pool = [[sample(ind, self.__N_CHROMOSOMES), 0, 0] for y in range(self.__SIZE_POOL)] + new_pool = [[sample(ind, self._N_CHROMOSOMES), 0, 0] for y in range(self.__SIZE_POOL)] else: - new_pool = [[[randint(self.__CHRO_MINVALUE,self.__CHRO_MAXVALUE)for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] + new_pool = [[[randint(self.__CHRO_MINVALUE,self.__CHRO_MAXVALUE) for x in range(self._N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] return new_pool else: new_pool = [ - [[uniform(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) for x in range(self.__N_CHROMOSOMES)], 0, 0] for y + [[uniform(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) for x in range(self._N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] return new_pool @@ -298,7 +298,7 @@ def __Generate_Child_flip(self, item): if DEBUG: print inspect.stack()[0][3] child = copy.copy(item) - index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] + index = [randint(0, self._N_CHROMOSOMES - 1), randint(0, self._N_CHROMOSOMES - 1)] index.sort() revert = copy.copy(item[index[0]:index[1]]) child[index[0]:index[1]] = revert[::-1] @@ -311,16 +311,16 @@ def __Generate_Child_Flip_tournament(self, item): if DEBUG: print inspect.stack()[0][3] child = copy.copy(item) - index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] + index = [randint(0, self._N_CHROMOSOMES - 1), randint(0, self._N_CHROMOSOMES - 1)] index.sort() revert = copy.copy(item[index[0]:index[1]]) child[index[0]:index[1]] = revert[::-1] child2 = copy.copy(item) revert2left = child2[0:index[0]] - revert2right = child2[index[1]: self.__N_CHROMOSOMES - 1] + revert2right = child2[index[1]: self._N_CHROMOSOMES - 1] child2[0:index[0]] = revert2left[::-1] - child2[index[1]:self.__N_CHROMOSOMES - 1] = revert2right[::-1] + child2[index[1]:self._N_CHROMOSOMES - 1] = revert2right[::-1] listIndividual = [item, child, child2] if self.__TYPECHILD is CHILD_FLIP_TOURNAMENT_DETERMINISTIC: @@ -336,7 +336,7 @@ def __Generate_Child_split(self, item1, item2): print inspect.stack()[0][3] child1 = copy.copy(item1) child2 = copy.copy(item2) - split = randint(1, self.__N_CHROMOSOMES - 1) + split = randint(1, self._N_CHROMOSOMES - 1) child1[split:] = copy.copy(child2[split:]) # [item1[::split],item2[split::]] child2[split:] = copy.copy(item1[split:]) # [item2[::split],item1[split::]] if self.__CAN_REPETEAD_CHRO is False: @@ -352,10 +352,10 @@ def __Generate_Child_Mean(self, item1, item2): print inspect.stack()[0][3] child = copy.copy(item1) if self.__CHRO_IS_F is True: - for i in range(self.__N_CHROMOSOMES): + for i in range(self._N_CHROMOSOMES): child[i] = (item1[i]+item2[1])/2 else: - for i in range(self.__N_CHROMOSOMES): + for i in range(self._N_CHROMOSOMES): f = (item1[i] + item2[i])/2 child[i] = int(math.floor(f)) if self.__CAN_REPETEAD_CHRO is False: @@ -510,7 +510,7 @@ def __mute_individuals(self, item): """ if DEBUG: print inspect.stack()[0][3] - index = [randint(0, self.__N_CHROMOSOMES - 1), randint(0, self.__N_CHROMOSOMES - 1)] + index = [randint(0, self._N_CHROMOSOMES - 1), randint(0, self._N_CHROMOSOMES - 1)] index.sort() a = copy.copy(item[index[0]:index[1]]) b = copy.copy(item) @@ -536,7 +536,7 @@ def set_pool(self, pool): """ if DEBUG: print inspect.stack()[0][3] - if self.__N_CHROMOSOMES is not len(pool[0][0]): + if self._N_CHROMOSOMES is not len(pool[0][0]): a = GenecticException a.what = "Error: the size of the individuos of pool is not correct." raise a @@ -549,7 +549,7 @@ def get_empty_pool(self): """ if DEBUG: print inspect.stack()[0][3] - pool = [[[0 for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] + pool = [[[0 for x in range(self._N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] return pool def get_pool(self): diff --git a/GeneticAlgorithm-gui/Genetic_Algorithm-gui.py b/GeneticAlgorithm_gui/Genetic_Algorithm_gui.py similarity index 94% rename from GeneticAlgorithm-gui/Genetic_Algorithm-gui.py rename to GeneticAlgorithm_gui/Genetic_Algorithm_gui.py index 2408614..44f6346 100644 --- a/GeneticAlgorithm-gui/Genetic_Algorithm-gui.py +++ b/GeneticAlgorithm_gui/Genetic_Algorithm_gui.py @@ -19,14 +19,16 @@ class GeneticAlgorithm_gui(GeneticAlgorithm): def __init__(self): GeneticAlgorithm.__init__(self) - app = QtGui.QApplication(sys.argv) + #app = QtGui.QApplication(sys.argv) self.Dialog = QtGui.QDialog() self.ui = Ui_Dialog() self.ui.setupUi(self.Dialog) self.Dialog.showMaximized() QtCore.QTimer.connect(self.ui.Aceptar_Cancelar, QtCore.SIGNAL("accepted()"), self.Aceptar) QtCore.QTimer.connect(self.ui.Aceptar_Cancelar, QtCore.SIGNAL("rejected()"), self.Cancelar) - app.exec_() + self.Dialog.exec_() + + #app.exec_() def Aceptar(self): f = open("temp_Fun_fitness.py", 'w') @@ -60,5 +62,7 @@ def __del__(self): os.remove("temp_Fun_fitness.py") except: pass - -ga=GeneticAlgorithm_gui() + + def get_N_Chrom(self): + return self._N_CHROMOSOMES + diff --git a/GeneticAlgorithm_gui/__init__.py b/GeneticAlgorithm_gui/__init__.py new file mode 100644 index 0000000..cd14339 --- /dev/null +++ b/GeneticAlgorithm_gui/__init__.py @@ -0,0 +1 @@ +from Genetic_Algorithm_gui import * \ No newline at end of file diff --git a/GeneticAlgorithm-gui/gui.py b/GeneticAlgorithm_gui/gui.py similarity index 95% rename from GeneticAlgorithm-gui/gui.py rename to GeneticAlgorithm_gui/gui.py index 5575d56..a99004b 100644 --- a/GeneticAlgorithm-gui/gui.py +++ b/GeneticAlgorithm_gui/gui.py @@ -97,6 +97,9 @@ def setupUi(self, Dialog): self.label_4.setObjectName(_fromUtf8("label_4")) self.formLayout_3.setWidget(0, QtGui.QFormLayout.LabelRole, self.label_4) self.Size_of_pool = QtGui.QSpinBox(self.frame) + self.Size_of_pool.setMinimum(100) + self.Size_of_pool.setMaximum(9999) + self.Size_of_pool.setProperty("value", 1000) self.Size_of_pool.setObjectName(_fromUtf8("Size_of_pool")) self.formLayout_3.setWidget(0, QtGui.QFormLayout.FieldRole, self.Size_of_pool) self.label_8 = QtGui.QLabel(self.frame) @@ -117,6 +120,8 @@ def setupUi(self, Dialog): self.formLayout_3.setWidget(2, QtGui.QFormLayout.LabelRole, self.label_9) self.Selection_mode = QtGui.QComboBox(self.frame) self.Selection_mode.setObjectName(_fromUtf8("Selection_mode")) + self.Selection_mode.addItem(_fromUtf8("")) + self.Selection_mode.addItem(_fromUtf8("")) self.formLayout_3.setWidget(2, QtGui.QFormLayout.FieldRole, self.Selection_mode) self.label_10 = QtGui.QLabel(self.frame) self.label_10.setObjectName(_fromUtf8("label_10")) @@ -150,20 +155,20 @@ def setupUi(self, Dialog): self.Mute = QtGui.QSpinBox(self.frame) self.Mute.setObjectName(_fromUtf8("Mute")) self.formLayout_3.setWidget(7, QtGui.QFormLayout.FieldRole, self.Mute) - self.label_15 = QtGui.QLabel(self.frame) + self.verticalLayout_3.addLayout(self.formLayout_3) + self.horizontalLayout.addWidget(self.frame) + self.verticalLayout.addLayout(self.horizontalLayout) + self.label_15 = QtGui.QLabel(Dialog) self.label_15.setObjectName(_fromUtf8("label_15")) - self.formLayout_3.setWidget(8, QtGui.QFormLayout.LabelRole, self.label_15) - self.Funt_Fitness = QtGui.QPlainTextEdit(self.frame) + self.verticalLayout.addWidget(self.label_15) + self.Funt_Fitness = QtGui.QPlainTextEdit(Dialog) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Maximum) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.Funt_Fitness.sizePolicy().hasHeightForWidth()) self.Funt_Fitness.setSizePolicy(sizePolicy) self.Funt_Fitness.setObjectName(_fromUtf8("Funt_Fitness")) - self.formLayout_3.setWidget(8, QtGui.QFormLayout.FieldRole, self.Funt_Fitness) - self.verticalLayout_3.addLayout(self.formLayout_3) - self.horizontalLayout.addWidget(self.frame) - self.verticalLayout.addLayout(self.horizontalLayout) + self.verticalLayout.addWidget(self.Funt_Fitness) self.Aceptar_Cancelar = QtGui.QDialogButtonBox(Dialog) self.Aceptar_Cancelar.setOrientation(QtCore.Qt.Horizontal) self.Aceptar_Cancelar.setStandardButtons(QtGui.QDialogButtonBox.Cancel|QtGui.QDialogButtonBox.Ok) @@ -193,6 +198,8 @@ def retranslateUi(self, Dialog): self.Child_mode.setItemText(5, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_DETERMINISTIC", None)) self.Child_mode.setItemText(6, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_PROBABILISTIC", None)) self.label_9.setText(_translate("Dialog", "Selection mode", None)) + self.Selection_mode.setItemText(0, _translate("Dialog", "FILL", None)) + self.Selection_mode.setItemText(1, _translate("Dialog", "ROULETE", None)) self.label_10.setText(_translate("Dialog", "It max", None)) self.label_11.setText(_translate("Dialog", "Sort High to Low", None)) self.label_14.setText(_translate("Dialog", "Chromosomes can be repeated", None)) diff --git a/GeneticAlgorithm_gui/gui.ui b/GeneticAlgorithm_gui/gui.ui new file mode 100644 index 0000000..cf748be --- /dev/null +++ b/GeneticAlgorithm_gui/gui.ui @@ -0,0 +1,334 @@ + + + Dialog + + + + 0 + 0 + 872 + 571 + + + + Dialog + + + + + + + + + 0 + 0 + + + + QFrame::StyledPanel + + + QFrame::Raised + + + + + + + 16777215 + 20 + + + + Chromosome params + + + + + + + QFormLayout::AllNonFixedFieldsGrow + + + + + Number of Chromosomes + + + + + + + + + + Value of Chromosome is float + + + + + + + + + + + + + + Minimum value + + + + + + + 0 + + + + + + + Maximum value + + + + + + + 0 + + + + + + + + + + + + + 0 + 0 + + + + QFrame::StyledPanel + + + QFrame::Raised + + + + + + + 16777215 + 20 + + + + Parameters of Genetic Algorithm + + + + + + + QFormLayout::AllNonFixedFieldsGrow + + + + + Size of pool + + + + + + + 100 + + + 9999 + + + 1000 + + + + + + + Child mode + + + + + + + + CHILD FLIP + + + + + CHILD_SPLIT + + + + + CHILD_FLIP_TOURNAMENT_DETERMINISTIC + + + + + CHILD_FLIP_TOURNAMENT_PROBABILISTIC + + + + + CHILD_MEAN + + + + + CHILD_SPLIT_TOURNAMENT_DETERMINISTIC + + + + + CHILD_SPLIT_TOURNAMENT_PROBABILISTIC + + + + + + + + Selection mode + + + + + + + + FILL + + + + + ROULETE + + + + + + + + It max + + + + + + + + + + Sort High to Low + + + + + + + + + + + + + + Chromosomes can be repeated + + + + + + + + + + + + + + Elitism + + + + + + + + + + Probability of mutating + + + + + + + + + + + + + + + + + Function Fitness + + + + + + + + 0 + 0 + + + + #Variables to calculate fitness +def Fitness(item): + """ + item is of type array of crhomosomes + Your code for calculate fitnness + """ + return fitness + + + + + + + Qt::Horizontal + + + QDialogButtonBox::Cancel|QDialogButtonBox::Ok + + + + + + + + diff --git a/examples/Traveling_Salesman_Problem/TSP_gui.py b/examples/Traveling_Salesman_Problem/TSP_gui.py new file mode 100644 index 0000000..859cc70 --- /dev/null +++ b/examples/Traveling_Salesman_Problem/TSP_gui.py @@ -0,0 +1,59 @@ +# -*- coding: utf-8 -*- + +# Form implementation generated from reading ui file 'gui.ui' +# +# Created by: PyQt4 UI code generator 4.11.4 +# +# WARNING! All changes made in this file will be lost! + +from PySide import QtCore, QtGui + +try: + _fromUtf8 = QtCore.QString.fromUtf8 +except AttributeError: + def _fromUtf8(s): + return s + +try: + _encoding = QtGui.QApplication.UnicodeUTF8 + def _translate(context, text, disambig): + return QtGui.QApplication.translate(context, text, disambig, _encoding) +except AttributeError: + def _translate(context, text, disambig): + return QtGui.QApplication.translate(context, text, disambig) + +class Ui_Dialog(object): + def setupUi(self, Dialog): + Dialog.setObjectName(_fromUtf8("Dialog")) + Dialog.resize(950, 537) + self.verticalLayout = QtGui.QVBoxLayout(Dialog) + self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) + self.dist = QtGui.QLabel(Dialog) + self.dist.setObjectName(_fromUtf8("dist")) + self.verticalLayout.addWidget(self.dist) + self.graphicsView = QtGui.QGraphicsView(Dialog) + self.graphicsView.setObjectName(_fromUtf8("graphicsView")) + self.verticalLayout.addWidget(self.graphicsView) + self.horizontalLayout = QtGui.QHBoxLayout() + self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) + self.stop = QtGui.QPushButton(Dialog) + self.stop.setObjectName(_fromUtf8("stop")) + self.horizontalLayout.addWidget(self.stop) + self.init = QtGui.QPushButton(Dialog) + self.init.setObjectName(_fromUtf8("init")) + self.horizontalLayout.addWidget(self.init) + self.start = QtGui.QPushButton(Dialog) + self.start.setObjectName(_fromUtf8("start")) + self.horizontalLayout.addWidget(self.start) + self.verticalLayout.addLayout(self.horizontalLayout) + + self.retranslateUi(Dialog) + QtCore.QMetaObject.connectSlotsByName(Dialog) + + def retranslateUi(self, Dialog): + Dialog.setWindowTitle(_translate("Dialog", "Dialog", None)) + self.dist.setText(_translate("Dialog", "TextLabel", None)) + self.stop.setText(_translate("Dialog", "Stop", None)) + self.init.setText(_translate("Dialog", "Init", None)) + self.start.setText(_translate("Dialog", "Start", None)) + diff --git a/examples/Traveling_Salesman_Problem/gui.py b/examples/Traveling_Salesman_Problem/gui.py deleted file mode 100644 index 8be12bd..0000000 --- a/examples/Traveling_Salesman_Problem/gui.py +++ /dev/null @@ -1,158 +0,0 @@ -# -*- coding: utf-8 -*- - -# Form implementation generated from reading ui file 'gui.ui' -# -# Created by: PyQt4 UI code generator 4.11.4 -# -# WARNING! All changes made in this file will be lost! - -from PySide import QtCore, QtGui - -try: - _fromUtf8 = QtCore.QString.fromUtf8 -except AttributeError: - def _fromUtf8(s): - return s - -try: - _encoding = QtGui.QApplication.UnicodeUTF8 - def _translate(context, text, disambig): - return QtGui.QApplication.translate(context, text, disambig, _encoding) -except AttributeError: - def _translate(context, text, disambig): - return QtGui.QApplication.translate(context, text, disambig) - -class Ui_Dialog(object): - def setupUi(self, Dialog): - Dialog.setObjectName(_fromUtf8("Dialog")) - Dialog.resize(812, 537) - self.verticalLayout = QtGui.QVBoxLayout(Dialog) - self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) - self.verticalLayout_2 = QtGui.QVBoxLayout() - self.verticalLayout_2.setObjectName(_fromUtf8("verticalLayout_2")) - self.horizontalLayout_4 = QtGui.QHBoxLayout() - self.horizontalLayout_4.setObjectName(_fromUtf8("horizontalLayout_4")) - self.verticalLayout_3 = QtGui.QVBoxLayout() - self.verticalLayout_3.setObjectName(_fromUtf8("verticalLayout_3")) - self.label = QtGui.QLabel(Dialog) - self.label.setObjectName(_fromUtf8("label")) - self.verticalLayout_3.addWidget(self.label) - self.child_mode = QtGui.QComboBox(Dialog) - self.child_mode.setObjectName(_fromUtf8("child_mode")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.verticalLayout_3.addWidget(self.child_mode) - self.horizontalLayout_4.addLayout(self.verticalLayout_3) - self.verticalLayout_9 = QtGui.QVBoxLayout() - self.verticalLayout_9.setObjectName(_fromUtf8("verticalLayout_9")) - self.label_7 = QtGui.QLabel(Dialog) - self.label_7.setObjectName(_fromUtf8("label_7")) - self.verticalLayout_9.addWidget(self.label_7) - self.selection_mode = QtGui.QComboBox(Dialog) - self.selection_mode.setObjectName(_fromUtf8("selection_mode")) - self.selection_mode.addItem(_fromUtf8("")) - self.selection_mode.addItem(_fromUtf8("")) - self.verticalLayout_9.addWidget(self.selection_mode) - self.horizontalLayout_4.addLayout(self.verticalLayout_9) - self.verticalLayout_4 = QtGui.QVBoxLayout() - self.verticalLayout_4.setObjectName(_fromUtf8("verticalLayout_4")) - self.label_2 = QtGui.QLabel(Dialog) - self.label_2.setObjectName(_fromUtf8("label_2")) - self.verticalLayout_4.addWidget(self.label_2) - self.mute = QtGui.QSpinBox(Dialog) - self.mute.setMinimum(0) - self.mute.setMaximum(100) - self.mute.setProperty("value", 2) - self.mute.setObjectName(_fromUtf8("mute")) - self.verticalLayout_4.addWidget(self.mute) - self.horizontalLayout_4.addLayout(self.verticalLayout_4) - self.verticalLayout_5 = QtGui.QVBoxLayout() - self.verticalLayout_5.setObjectName(_fromUtf8("verticalLayout_5")) - self.label_3 = QtGui.QLabel(Dialog) - self.label_3.setObjectName(_fromUtf8("label_3")) - self.verticalLayout_5.addWidget(self.label_3) - self.elitism = QtGui.QSpinBox(Dialog) - self.elitism.setMaximum(100) - self.elitism.setProperty("value", 10) - self.elitism.setObjectName(_fromUtf8("elitism")) - self.verticalLayout_5.addWidget(self.elitism) - self.horizontalLayout_4.addLayout(self.verticalLayout_5) - self.verticalLayout_6 = QtGui.QVBoxLayout() - self.verticalLayout_6.setObjectName(_fromUtf8("verticalLayout_6")) - self.label_4 = QtGui.QLabel(Dialog) - self.label_4.setObjectName(_fromUtf8("label_4")) - self.verticalLayout_6.addWidget(self.label_4) - self.size_pool = QtGui.QSpinBox(Dialog) - self.size_pool.setMaximum(100000) - self.size_pool.setSingleStep(10) - self.size_pool.setProperty("value", 1000) - self.size_pool.setObjectName(_fromUtf8("size_pool")) - self.verticalLayout_6.addWidget(self.size_pool) - self.horizontalLayout_4.addLayout(self.verticalLayout_6) - self.verticalLayout_7 = QtGui.QVBoxLayout() - self.verticalLayout_7.setObjectName(_fromUtf8("verticalLayout_7")) - self.label_5 = QtGui.QLabel(Dialog) - self.label_5.setObjectName(_fromUtf8("label_5")) - self.verticalLayout_7.addWidget(self.label_5) - self.cities = QtGui.QSpinBox(Dialog) - self.cities.setMinimum(10) - self.cities.setMaximum(200) - self.cities.setProperty("value", 10) - self.cities.setObjectName(_fromUtf8("cities")) - self.verticalLayout_7.addWidget(self.cities) - self.horizontalLayout_4.addLayout(self.verticalLayout_7) - self.high_low = QtGui.QCheckBox(Dialog) - self.high_low.setObjectName(_fromUtf8("high_low")) - self.horizontalLayout_4.addWidget(self.high_low) - self.verticalLayout_2.addLayout(self.horizontalLayout_4) - self.verticalLayout.addLayout(self.verticalLayout_2) - self.dist = QtGui.QLabel(Dialog) - self.dist.setObjectName(_fromUtf8("dist")) - self.verticalLayout.addWidget(self.dist) - self.graphicsView = QtGui.QGraphicsView(Dialog) - self.graphicsView.setObjectName(_fromUtf8("graphicsView")) - self.verticalLayout.addWidget(self.graphicsView) - self.horizontalLayout = QtGui.QHBoxLayout() - self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) - self.stop = QtGui.QPushButton(Dialog) - self.stop.setObjectName(_fromUtf8("stop")) - self.horizontalLayout.addWidget(self.stop) - self.init = QtGui.QPushButton(Dialog) - self.init.setObjectName(_fromUtf8("init")) - self.horizontalLayout.addWidget(self.init) - self.start = QtGui.QPushButton(Dialog) - self.start.setObjectName(_fromUtf8("start")) - self.horizontalLayout.addWidget(self.start) - self.verticalLayout.addLayout(self.horizontalLayout) - - self.retranslateUi(Dialog) - QtCore.QMetaObject.connectSlotsByName(Dialog) - - def retranslateUi(self, Dialog): - Dialog.setWindowTitle(_translate("Dialog", "Dialog", None)) - self.label.setText(_translate("Dialog", "CHILD MODE", None)) - self.child_mode.setItemText(0, _translate("Dialog", "CHILD_FLIP", None)) - self.child_mode.setItemText(1, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_DETERMINISTIC", None)) - self.child_mode.setItemText(2, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_PROBABILISTIC", None)) - self.child_mode.setItemText(3, _translate("Dialog", "CHILD_SPLIT", None)) - self.child_mode.setItemText(4, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_DETERMINISTIC", None)) - self.child_mode.setItemText(5, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_PROBABILISTIC", None)) - self.child_mode.setItemText(6, _translate("Dialog", "CHILD_MEAN", None)) - self.label_7.setText(_translate("Dialog", "SELECTION MODE", None)) - self.selection_mode.setItemText(0, _translate("Dialog", "FILL", None)) - self.selection_mode.setItemText(1, _translate("Dialog", "ROULETTE", None)) - self.label_2.setText(_translate("Dialog", "MUTE %", None)) - self.label_3.setText(_translate("Dialog", "ELITISM %", None)) - self.label_4.setText(_translate("Dialog", "SIZE POOL", None)) - self.label_5.setText(_translate("Dialog", "CITIES", None)) - self.high_low.setText(_translate("Dialog", "Sort high to low", None)) - self.dist.setText(_translate("Dialog", "TextLabel", None)) - self.stop.setText(_translate("Dialog", "Stop", None)) - self.init.setText(_translate("Dialog", "Init", None)) - self.start.setText(_translate("Dialog", "Start", None)) - diff --git a/examples/Traveling_Salesman_Problem/gui.ui b/examples/Traveling_Salesman_Problem/gui.ui index 89c6fe9..1057a6d 100644 --- a/examples/Traveling_Salesman_Problem/gui.ui +++ b/examples/Traveling_Salesman_Problem/gui.ui @@ -6,7 +6,7 @@ 0 0 - 812 + 950 537 @@ -14,189 +14,6 @@ Dialog - - - - - - - - - - CHILD MODE - - - - - - - - CHILD_FLIP - - - - - CHILD_FLIP_TOURNAMENT_DETERMINISTIC - - - - - CHILD_FLIP_TOURNAMENT_PROBABILISTIC - - - - - CHILD_SPLIT - - - - - CHILD_SPLIT_TOURNAMENT_DETERMINISTIC - - - - - CHILD_SPLIT_TOURNAMENT_PROBABILISTIC - - - - - CHILD_MEAN - - - - - - - - - - - - SELECTION MODE - - - - - - - - FILL - - - - - ROULETTE - - - - - - - - - - - - MUTE % - - - - - - - 0 - - - 100 - - - 2 - - - - - - - - - - - ELITISM % - - - - - - - 100 - - - 10 - - - - - - - - - - - SIZE POOL - - - - - - - 100000 - - - 10 - - - 1000 - - - - - - - - - - - CITIES - - - - - - - 10 - - - 200 - - - 10 - - - - - - - - - Sort high to low - - - - - - - diff --git a/examples/Traveling_Salesman_Problem/main.py b/examples/Traveling_Salesman_Problem/main.py index b6458cd..8175c00 100644 --- a/examples/Traveling_Salesman_Problem/main.py +++ b/examples/Traveling_Salesman_Problem/main.py @@ -1,7 +1,7 @@ import sys -from gui import * -from GeneticAlgorithm import * +import TSP_gui +from GeneticAlgorithm_gui import * from scene import * pcities = [ @@ -207,110 +207,86 @@ [1310.112208934792, 359.667902376623, 1228.938566405986, 1491.3275964723512, 1727.1493855483375, 1484.769679108514, 625.3742879268383, 1758.1564207999243, 1426.772932179469, 1895.2342863086874, 1994.753117556155, 809.8771511778808, 1233.188144607302, 1587.1798889854924, 1467.9594681053015, 1588.2852388661174, 383.020887158912, 1704.1317437334474, 1694.1950891204945, 737.4455912133451, 278.8207309365643, 1518.1040807533586, 2198.7726121634314, 544.121310003569, 762.5483591222264, 579.987068821366, 579.5248053362341, 300.04166377354994, 1488.7528337504516, 1485.6840175488192, 924.5350182659389, 1083.8104077743487, 1342.8004319332042, 1104.610338535721, 1679.5767323942066, 1697.0609888863746, 174.64249196572982, 1211.409509620921, 1837.6403347771839, 1402.687777090825, 1707.0199178685643, 1043.3834386264716, 1378.2089827018253, 1631.979472910122, 1288.7486178460097, 763.6766331373509, 1233.002838601761, 1717.3971584930493, 865.6240523460517, 617.9482178953185, 2159.6029727706896, 1377.52023578603, 2273.697429298806, 1868.5034118245544, 971.5765538546101, 1893.1164781914504, 1147.694210144845, 837.3559577622888, 1763.6331818153117, 266.5520587052368, 1578.0700237948886, 413.6000483558966, 1436.8472430985835, 1618.9928968343252, 1784.7770168847424, 1709.4785754726497, 591.4499133485439, 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1980.051767000045, 377.7949179118216, 831.445127473846, 1845.5530336460126, 202.37094653136353, 414.36457377531684, 1887.7711725736253, 1936.75630888349, 1057.9621921410992, 1019.6724964418722, 1286.8232201821663, 655.4883675550619, 1853.4252075549205, 424.85291572496004, 1289.0446074515808, 506.5037018620891, 694.1368741105748, 1349.9648143562854, 756.2202060246738, 1019.468488968639, 1613.1063201165632, 1322.4753305827674, 1260.0071428368967, 1503.3150035837466, 640.3381918955014, 985.4998731608239, 1877.2373318256805, 515.2717729509351, 1166.8800281091453, 2325.064300186126, 1401.0285507440597, 1554.921219869354, 1198.050499770356, 1766.2004416260347, 1771.2032633212937, 308.1330881291394, 488.0983507450112, 2294.402972452747, 1925.1623308178457, 2078.539150461208, 2193.3955411644292, 127.534309109353, 971.2903788260234, 803.483665048643, 2180.4118876946163, 693.288540219727, 1372.4634785669161, 1875.2986428833142, 563.3551277835323, 1257.1972796661628, 1453.1610371875513, 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1464.1564124095485, 485.8075750747409, 559.4157666709082, 633.4698098567918, 882.8771148919876, 214.75800334329801, 481.6803919613087, 509.87253309037936, 1283.9863706441747, 579.4411100362141, 834.0083932431376, 1399.3030408028135, 1448.0055248513384, 2074.672022272436, 694.5077393377269, 327.8322741891042, 128.2692480682724, 1594.682413523144, 1902.3406634985229, 1515.7321663143525, 1887.5584759153821, 703.2951016465279, 584.27733141035, 1650.2814911402236, 1441.216846973418, 266.101484400219, 933.2148734348376, 794.638282490845, 729.9657526213131, 499.0751446425678, 1554.6806746081331, 442.3222806958745, 2083.912186249699, 1801.2717729426618, 872.928977637929, 1280.4549972568345, 1092.309937700834, 545.4768556043418, 1727.9134816303738, 1534.9299658290602, 357.6940033045005, 394.4109531947611, 1792.390861391566, 341.2477106150311, 731.1155859369981, 1587.9184487875943, 1348.0237386633812, 1622.1790899897583, 81.49233092751734, 641.7109941398854, 1566.7705639307883, 187.5366630821824, 65.06919393998976, 1571.410831068693, 1630.2162433247927, 814.8864951635902, 667.3290043149631, 959.588453452833, 577.6028047023318, 1642.8100924939558, 95.0789145920377, 1191.5737492912472, 382.99086150977547, 377.2982904811523, 1122.9251978649336, 692.6651427638033, 678.6162391219356, 1294.5439351370042, 984.7197570882794, 977.2870612056623, 1149.3476410555686, 467.78734484806233, 670.4103221162395, 1520.4236251781936, 509.7695557798641, 819.2539288889618, 1976.916791369834, 1132.4826709490967, 1203.3320406271912, 839.2526437253564, 1503.905582142709, 1431.0866500670043, 385.6034232213194, 215.82400237230334, 1955.3835940807114, 1632.118255519495, 1733.4165685143314, 1845.5058927025943, 235.5949914577982, 616.3318911106255, 453.8479921735911, 1838.84528984904, 351.2506227752486, 1032.2267192821546, 1529.7610924585576, 224.98222151983475, 938.8423722862108, 1136.8909358421326, 493.88257713752165, 809.119274272959, 743.7694535270994, 1168.2880637924877, 1603.1500241711628, 1422.1652505950215, 361.0720149776219, 649.1509839783038, 543.7223556191155, 584.27733141035, 1162.8327480768676, 1046.0028680649016, 395.8547713492917, 908.8652265325151, 1686.2458302394703, 342.6601815209932, 1403.2822239307388, 99.76472322419383, 1364.0179617585686, 1338.6358728197897, 1085.4238803343144, 1531.6151605413156, 1941.4391569142722, 178.46568297574746, 445.1213317737086, 689.2641003272984, 1749.9888571073816, 1220.4855591116184, 916.9220250381163, 358.8035674293108, 9223372036854775807]] - -GA=None -ui=None -timer=None -scenev=None - -def fitnnes(item): +def Fitness(item): dist = 0 cityant = item[0] - for cityact in item[1:ui.cities.value()]: + for cityact in item[1:20]: dist = dist + distance[cityant][cityact] cityant = cityact dist = dist + distance[cityant][item[0]] return dist -@QtCore.Slot() -def update_view(): - winneract__ = GA.Winner_Probability() - if winneract__[0] is not update_view.winneract: - update_view.winnerant = update_view.winneract - update_view.winneract = winneract__[0] - scenev.Clear() - scenev.RePaint() - ui.dist.setText(str(winneract__[1]) + " km") - scenev.Paint_road(update_view.winneract, RED, 3) - if update_view.winnerant is not None: - scenev.Paint_road(update_view.winnerant, BLACK) -update_view.winnerant = None -update_view.winneract = None - -def get_child_mode(): - mode= ui.child_mode.currentIndex() - if mode is 0: - return CHILD_FLIP - elif mode is 1: - return CHILD_FLIP_TOURNAMENT_DETERMINISTIC - elif mode is 2: - return CHILD_FLIP_TOURNAMENT_PROBABILISTIC - elif mode is 3: - return CHILD_SPLIT - elif mode is 4: - return CHILD_SPLIT_TOURNAMENT_DETERMINISTIC - elif mode is 5: - return CHILD_SPLIT_TOURNAMENT_PROBABILISTIC - elif mode is 6: - return CHILD_MEAN +class main(): + """ + GA=None + ui=None + timer=None + scenev=None + app=None + """ + def __init__(self): + self.GA = None + self.ui = None + self.timer = None + self.scenev = None + self.winneract=None + self.winnerant=None + app = QtGui.QApplication(sys.argv) + Dialog = QtGui.QDialog() + self.ui = TSP_gui.Ui_Dialog() + self.ui.setupUi(Dialog) + Dialog.showMaximized() + self.scenev = SCENE() + self.ui.graphicsView.setScene + self.ui.graphicsView.setScene(self.scenev) -def get_selection_mode(): - mode= ui.selection_mode.currentIndex(); - if mode is 0: - return FILL_NEXT_GENERATION - elif mode is 1: - return ROULETTE + self.ui.start.clicked.connect(self.start) + self.ui.stop.clicked.connect(self.stop) + self.ui.init.clicked.connect(self.init) -def get_high_low(): - return ui.high_low.checkState() is QtCore.Qt.CheckState.Checked + self.timer = QtCore.QTimer() + QtCore.QTimer.connect(self.timer, QtCore.SIGNAL("timeout()"), self.update_view) + sys.exit(app.exec_()) -@QtCore.Slot() -def start(): - GA.start(300) - timer.start(100) -@QtCore.Slot() -def stop(): - GA.stop() - timer.stop() + @QtCore.Slot() + def update_view(self): + winneract__ = self.GA.Winner_Probability() + if winneract__[0] is not self.winneract: + self.winnerant = self.winneract + self.winneract = winneract__[0] + self.scenev.Clear() + self.scenev.RePaint() + self.ui.dist.setText(str(winneract__[1]) + " km") + self.scenev.Paint_road(self.winneract, RED, 3) + if self.winnerant is not None: + self.scenev.Paint_road(self.winnerant, BLACK) -@QtCore.Slot() -def init(): - chro = chromosome_t(ui.cities.value()) - scenev.set_listCities(pcities[:ui.cities.value()]) - scenev.Clear() - scenev.RePaint() - scale=[ui.graphicsView.width()/scenev.width()-0.01,ui.graphicsView.height()/scenev.height()-0.01] - scale.sort() - if scale[0] != init.scaleant: - ui.graphicsView.scale(scale[0], scale[0]) - init.scaleant=scale[0] + @QtCore.Slot() + def start(self): + self.GA.start(100) + self.timer.start(100) + @QtCore.Slot() + def stop(self): + self.GA.stop() + self.timer.stop() - f = fitnnes - try: - GA.setattrGeneticAlgorithm(f, chro, selection_type=get_selection_mode(), - High_Low=get_high_low(), size_pool=ui.size_pool.value(), child_type=get_child_mode(), - porcent_elitism=ui.elitism.value(), porcent_mute=ui.mute.value()) - except GenecticException: - print GenecticException.what + @QtCore.Slot() + def init(self): + try: + self.GA=GeneticAlgorithm_gui() + self.scenev.set_listCities(pcities[:self.GA.get_N_Chrom()]) + self.scenev.RePaint() + scale = [self.ui.graphicsView.width() / self.scenev.width() - 0.01, self.ui.graphicsView.height() / self.scenev.height() - 0.01] + scale.sort() + if scale[0] != self.init.scaleant: + self.ui.graphicsView.scale(scale[0], scale[0]) + self.init.scaleant = scale[0] + except: + pass + init.scaleant=None -init.scaleant=None if __name__ == "__main__": - GA = GeneticAlgorithm() - app = QtGui.QApplication(sys.argv) - Dialog = QtGui.QDialog() - ui = Ui_Dialog() - ui.setupUi(Dialog) - Dialog.showMaximized() - scenev = SCENE() - ui.graphicsView.setScene(scenev) - - ui.start.clicked.connect(start) - ui.stop.clicked.connect(stop) - ui.init.clicked.connect(init) - - timer = QtCore.QTimer() - QtCore.QTimer.connect(timer, QtCore.SIGNAL("timeout()"), update_view) - sys.exit(app.exec_()) + main() From 3c7da75eb699e090916f8700a10e4f6d4ddc4074 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 12 Dec 2016 13:21:14 +0100 Subject: [PATCH 30/47] Deleted files __init__.py from examples --- examples/Traveling_Salesman_Problem/__init__.py | 0 examples/__init__.py | 0 2 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 examples/Traveling_Salesman_Problem/__init__.py delete mode 100644 examples/__init__.py diff --git a/examples/Traveling_Salesman_Problem/__init__.py b/examples/Traveling_Salesman_Problem/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/examples/__init__.py b/examples/__init__.py deleted file mode 100644 index e69de29..0000000 From 67c4ce548fba44981e6c73000d8f1b91fd37bfee Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 12 Dec 2016 13:41:47 +0100 Subject: [PATCH 31/47] Move package GeneticAlgorithm_gui to package GeneticAlgorithm --- .../Genetic_Algorithm_gui.py | 0 .../GeneticAlgorithm_gui}/__init__.py | 0 .../GeneticAlgorithm_gui}/gui.py | 0 .../GeneticAlgorithm_gui}/gui.ui | 0 examples/Traveling_Salesman_Problem/main.py | 4 +- gui.py | 158 ------------------ 6 files changed, 1 insertion(+), 161 deletions(-) rename {GeneticAlgorithm_gui => GeneticAlgorithm/GeneticAlgorithm_gui}/Genetic_Algorithm_gui.py (100%) rename {GeneticAlgorithm_gui => GeneticAlgorithm/GeneticAlgorithm_gui}/__init__.py (100%) rename {GeneticAlgorithm_gui => GeneticAlgorithm/GeneticAlgorithm_gui}/gui.py (100%) rename {GeneticAlgorithm_gui => GeneticAlgorithm/GeneticAlgorithm_gui}/gui.ui (100%) delete mode 100644 gui.py diff --git a/GeneticAlgorithm_gui/Genetic_Algorithm_gui.py b/GeneticAlgorithm/GeneticAlgorithm_gui/Genetic_Algorithm_gui.py similarity index 100% rename from GeneticAlgorithm_gui/Genetic_Algorithm_gui.py rename to GeneticAlgorithm/GeneticAlgorithm_gui/Genetic_Algorithm_gui.py diff --git a/GeneticAlgorithm_gui/__init__.py b/GeneticAlgorithm/GeneticAlgorithm_gui/__init__.py similarity index 100% rename from GeneticAlgorithm_gui/__init__.py rename to GeneticAlgorithm/GeneticAlgorithm_gui/__init__.py diff --git a/GeneticAlgorithm_gui/gui.py b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py similarity index 100% rename from GeneticAlgorithm_gui/gui.py rename to GeneticAlgorithm/GeneticAlgorithm_gui/gui.py diff --git a/GeneticAlgorithm_gui/gui.ui b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui similarity index 100% rename from GeneticAlgorithm_gui/gui.ui rename to GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui diff --git a/examples/Traveling_Salesman_Problem/main.py b/examples/Traveling_Salesman_Problem/main.py index 8175c00..c956e19 100644 --- a/examples/Traveling_Salesman_Problem/main.py +++ b/examples/Traveling_Salesman_Problem/main.py @@ -1,7 +1,5 @@ -import sys - import TSP_gui -from GeneticAlgorithm_gui import * +from GeneticAlgorithm.GeneticAlgorithm_gui import * from scene import * pcities = [ diff --git a/gui.py b/gui.py deleted file mode 100644 index 8be12bd..0000000 --- a/gui.py +++ /dev/null @@ -1,158 +0,0 @@ -# -*- coding: utf-8 -*- - -# Form implementation generated from reading ui file 'gui.ui' -# -# Created by: PyQt4 UI code generator 4.11.4 -# -# WARNING! All changes made in this file will be lost! - -from PySide import QtCore, QtGui - -try: - _fromUtf8 = QtCore.QString.fromUtf8 -except AttributeError: - def _fromUtf8(s): - return s - -try: - _encoding = QtGui.QApplication.UnicodeUTF8 - def _translate(context, text, disambig): - return QtGui.QApplication.translate(context, text, disambig, _encoding) -except AttributeError: - def _translate(context, text, disambig): - return QtGui.QApplication.translate(context, text, disambig) - -class Ui_Dialog(object): - def setupUi(self, Dialog): - Dialog.setObjectName(_fromUtf8("Dialog")) - Dialog.resize(812, 537) - self.verticalLayout = QtGui.QVBoxLayout(Dialog) - self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) - self.verticalLayout_2 = QtGui.QVBoxLayout() - self.verticalLayout_2.setObjectName(_fromUtf8("verticalLayout_2")) - self.horizontalLayout_4 = QtGui.QHBoxLayout() - self.horizontalLayout_4.setObjectName(_fromUtf8("horizontalLayout_4")) - self.verticalLayout_3 = QtGui.QVBoxLayout() - self.verticalLayout_3.setObjectName(_fromUtf8("verticalLayout_3")) - self.label = QtGui.QLabel(Dialog) - self.label.setObjectName(_fromUtf8("label")) - self.verticalLayout_3.addWidget(self.label) - self.child_mode = QtGui.QComboBox(Dialog) - self.child_mode.setObjectName(_fromUtf8("child_mode")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.child_mode.addItem(_fromUtf8("")) - self.verticalLayout_3.addWidget(self.child_mode) - self.horizontalLayout_4.addLayout(self.verticalLayout_3) - self.verticalLayout_9 = QtGui.QVBoxLayout() - self.verticalLayout_9.setObjectName(_fromUtf8("verticalLayout_9")) - self.label_7 = QtGui.QLabel(Dialog) - self.label_7.setObjectName(_fromUtf8("label_7")) - self.verticalLayout_9.addWidget(self.label_7) - self.selection_mode = QtGui.QComboBox(Dialog) - self.selection_mode.setObjectName(_fromUtf8("selection_mode")) - self.selection_mode.addItem(_fromUtf8("")) - self.selection_mode.addItem(_fromUtf8("")) - self.verticalLayout_9.addWidget(self.selection_mode) - self.horizontalLayout_4.addLayout(self.verticalLayout_9) - self.verticalLayout_4 = QtGui.QVBoxLayout() - self.verticalLayout_4.setObjectName(_fromUtf8("verticalLayout_4")) - self.label_2 = QtGui.QLabel(Dialog) - self.label_2.setObjectName(_fromUtf8("label_2")) - self.verticalLayout_4.addWidget(self.label_2) - self.mute = QtGui.QSpinBox(Dialog) - self.mute.setMinimum(0) - self.mute.setMaximum(100) - self.mute.setProperty("value", 2) - self.mute.setObjectName(_fromUtf8("mute")) - self.verticalLayout_4.addWidget(self.mute) - self.horizontalLayout_4.addLayout(self.verticalLayout_4) - self.verticalLayout_5 = QtGui.QVBoxLayout() - self.verticalLayout_5.setObjectName(_fromUtf8("verticalLayout_5")) - self.label_3 = QtGui.QLabel(Dialog) - self.label_3.setObjectName(_fromUtf8("label_3")) - self.verticalLayout_5.addWidget(self.label_3) - self.elitism = QtGui.QSpinBox(Dialog) - self.elitism.setMaximum(100) - self.elitism.setProperty("value", 10) - self.elitism.setObjectName(_fromUtf8("elitism")) - self.verticalLayout_5.addWidget(self.elitism) - self.horizontalLayout_4.addLayout(self.verticalLayout_5) - self.verticalLayout_6 = QtGui.QVBoxLayout() - self.verticalLayout_6.setObjectName(_fromUtf8("verticalLayout_6")) - self.label_4 = QtGui.QLabel(Dialog) - self.label_4.setObjectName(_fromUtf8("label_4")) - self.verticalLayout_6.addWidget(self.label_4) - self.size_pool = QtGui.QSpinBox(Dialog) - self.size_pool.setMaximum(100000) - self.size_pool.setSingleStep(10) - self.size_pool.setProperty("value", 1000) - self.size_pool.setObjectName(_fromUtf8("size_pool")) - self.verticalLayout_6.addWidget(self.size_pool) - self.horizontalLayout_4.addLayout(self.verticalLayout_6) - self.verticalLayout_7 = QtGui.QVBoxLayout() - self.verticalLayout_7.setObjectName(_fromUtf8("verticalLayout_7")) - self.label_5 = QtGui.QLabel(Dialog) - self.label_5.setObjectName(_fromUtf8("label_5")) - self.verticalLayout_7.addWidget(self.label_5) - self.cities = QtGui.QSpinBox(Dialog) - self.cities.setMinimum(10) - self.cities.setMaximum(200) - self.cities.setProperty("value", 10) - self.cities.setObjectName(_fromUtf8("cities")) - self.verticalLayout_7.addWidget(self.cities) - self.horizontalLayout_4.addLayout(self.verticalLayout_7) - self.high_low = QtGui.QCheckBox(Dialog) - self.high_low.setObjectName(_fromUtf8("high_low")) - self.horizontalLayout_4.addWidget(self.high_low) - self.verticalLayout_2.addLayout(self.horizontalLayout_4) - self.verticalLayout.addLayout(self.verticalLayout_2) - self.dist = QtGui.QLabel(Dialog) - self.dist.setObjectName(_fromUtf8("dist")) - self.verticalLayout.addWidget(self.dist) - self.graphicsView = QtGui.QGraphicsView(Dialog) - self.graphicsView.setObjectName(_fromUtf8("graphicsView")) - self.verticalLayout.addWidget(self.graphicsView) - self.horizontalLayout = QtGui.QHBoxLayout() - self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) - self.stop = QtGui.QPushButton(Dialog) - self.stop.setObjectName(_fromUtf8("stop")) - self.horizontalLayout.addWidget(self.stop) - self.init = QtGui.QPushButton(Dialog) - self.init.setObjectName(_fromUtf8("init")) - self.horizontalLayout.addWidget(self.init) - self.start = QtGui.QPushButton(Dialog) - self.start.setObjectName(_fromUtf8("start")) - self.horizontalLayout.addWidget(self.start) - self.verticalLayout.addLayout(self.horizontalLayout) - - self.retranslateUi(Dialog) - QtCore.QMetaObject.connectSlotsByName(Dialog) - - def retranslateUi(self, Dialog): - Dialog.setWindowTitle(_translate("Dialog", "Dialog", None)) - self.label.setText(_translate("Dialog", "CHILD MODE", None)) - self.child_mode.setItemText(0, _translate("Dialog", "CHILD_FLIP", None)) - self.child_mode.setItemText(1, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_DETERMINISTIC", None)) - self.child_mode.setItemText(2, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_PROBABILISTIC", None)) - self.child_mode.setItemText(3, _translate("Dialog", "CHILD_SPLIT", None)) - self.child_mode.setItemText(4, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_DETERMINISTIC", None)) - self.child_mode.setItemText(5, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_PROBABILISTIC", None)) - self.child_mode.setItemText(6, _translate("Dialog", "CHILD_MEAN", None)) - self.label_7.setText(_translate("Dialog", "SELECTION MODE", None)) - self.selection_mode.setItemText(0, _translate("Dialog", "FILL", None)) - self.selection_mode.setItemText(1, _translate("Dialog", "ROULETTE", None)) - self.label_2.setText(_translate("Dialog", "MUTE %", None)) - self.label_3.setText(_translate("Dialog", "ELITISM %", None)) - self.label_4.setText(_translate("Dialog", "SIZE POOL", None)) - self.label_5.setText(_translate("Dialog", "CITIES", None)) - self.high_low.setText(_translate("Dialog", "Sort high to low", None)) - self.dist.setText(_translate("Dialog", "TextLabel", None)) - self.stop.setText(_translate("Dialog", "Stop", None)) - self.init.setText(_translate("Dialog", "Init", None)) - self.start.setText(_translate("Dialog", "Start", None)) - From e13264bd44cbbcd5f7239153dc05744bfdffcb80 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 12 Dec 2016 13:50:19 +0100 Subject: [PATCH 32/47] update setup.py and created install.sh --- install.sh | 3 +++ setup.py | 2 +- 2 files changed, 4 insertions(+), 1 deletion(-) create mode 100644 install.sh diff --git a/install.sh b/install.sh new file mode 100644 index 0000000..d485f97 --- /dev/null +++ b/install.sh @@ -0,0 +1,3 @@ +#!/usr/bin/env bash + +sudo python setup.py install diff --git a/setup.py b/setup.py index 2774f32..d7d7824 100644 --- a/setup.py +++ b/setup.py @@ -9,5 +9,5 @@ # url="", license="GPL", # scripts=["ejemplo.py"], - packages=["GeneticAlgorithm"] + packages=["GeneticAlgorithm","GeneticAlgorithm/GeneticAlgorithm_gui"] ) \ No newline at end of file From 65b8bf45084861a7c0f6f5f4c710d3d5caa1a007 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Tue, 13 Dec 2016 01:37:18 +0100 Subject: [PATCH 33/47] Added install dependenc, update setattr with class GeneticAlgorithm_attr_t and update gui library --- .../Genetic_Algorithm_gui.py | 12 +- GeneticAlgorithm/GeneticAlgorithm_gui/gui.py | 43 +- GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui | 593 ++++++++++-------- GeneticAlgorithm/Genetic_Algorithm.py | 235 +++---- GeneticAlgorithm/__init__.py | 4 +- examples/Traveling_Salesman_Problem/main.py | 4 +- install.sh | 2 + 7 files changed, 450 insertions(+), 443 deletions(-) diff --git a/GeneticAlgorithm/GeneticAlgorithm_gui/Genetic_Algorithm_gui.py b/GeneticAlgorithm/GeneticAlgorithm_gui/Genetic_Algorithm_gui.py index 44f6346..dceecb4 100644 --- a/GeneticAlgorithm/GeneticAlgorithm_gui/Genetic_Algorithm_gui.py +++ b/GeneticAlgorithm/GeneticAlgorithm_gui/Genetic_Algorithm_gui.py @@ -1,6 +1,8 @@ -from GeneticAlgorithm import * +import os + +from GeneticAlgorithm.Genetic_Algorithm import * +from GeneticAlgorithm.Genetic_Algorithm_attr import GeneticAlgorithm_Attr_t from gui import * -import sys,os def _checkStatetobool(checkbox): @@ -44,13 +46,15 @@ def Aceptar(self): minv = int(self.ui.Chrm_min.text()) chrom = chromosome_t(self.ui.N_Chrom.value(), maxvalue=maxv, minvalue=minv, chromosomes_is_float=_checkStatetobool(self.ui.Chrm_is_F)) - GeneticAlgorithm.setattrGeneticAlgorithm(self, fun_fitness, chromosomes=chrom, itmax=self.ui.Itmax.value(), + GA_attr=GeneticAlgorithm_Attr_t(fun_fitness, chromosomes=chrom, itmax=self.ui.Itmax.value(), child_type=_getChildMode(self.ui.Child_mode.currentIndex()), selection_type=_getSelectionMode(self.ui.Selection_mode.currentIndex()), High_Low=_checkStatetobool(self.ui.High_Low), size_pool=self.ui.Size_of_pool.value(), porcent_elitism=self.ui.Elitism.value(), porcent_mute=self.ui.Mute.value(), can_repeated_chro=_checkStatetobool(self.ui.Chrm_can_repetead)) + GeneticAlgorithm.setattrGeneticAlgorithm(self,GA_attr) + self.Dialog.close() def Cancelar(self): @@ -63,6 +67,4 @@ def __del__(self): except: pass - def get_N_Chrom(self): - return self._N_CHROMOSOMES diff --git a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py index a99004b..79d67a9 100644 --- a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py +++ b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py @@ -25,12 +25,17 @@ def _translate(context, text, disambig): class Ui_Dialog(object): def setupUi(self, Dialog): Dialog.setObjectName(_fromUtf8("Dialog")) - Dialog.resize(872, 571) + Dialog.resize(1012, 743) self.verticalLayout = QtGui.QVBoxLayout(Dialog) self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) - self.horizontalLayout = QtGui.QHBoxLayout() - self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) - self.frame_2 = QtGui.QFrame(Dialog) + self.frame_4 = QtGui.QFrame(Dialog) + self.frame_4.setMaximumSize(QtCore.QSize(16777215, 311)) + self.frame_4.setFrameShape(QtGui.QFrame.StyledPanel) + self.frame_4.setFrameShadow(QtGui.QFrame.Raised) + self.frame_4.setObjectName(_fromUtf8("frame_4")) + self.horizontalLayout_2 = QtGui.QHBoxLayout(self.frame_4) + self.horizontalLayout_2.setObjectName(_fromUtf8("horizontalLayout_2")) + self.frame_2 = QtGui.QFrame(self.frame_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) @@ -52,6 +57,7 @@ def setupUi(self, Dialog): self.label_3.setObjectName(_fromUtf8("label_3")) self.formLayout_2.setWidget(0, QtGui.QFormLayout.LabelRole, self.label_3) self.N_Chrom = QtGui.QSpinBox(self.frame_2) + self.N_Chrom.setMaximum(9999999) self.N_Chrom.setObjectName(_fromUtf8("N_Chrom")) self.formLayout_2.setWidget(0, QtGui.QFormLayout.FieldRole, self.N_Chrom) self.label_5 = QtGui.QLabel(self.frame_2) @@ -74,8 +80,8 @@ def setupUi(self, Dialog): self.Chrm_max.setObjectName(_fromUtf8("Chrm_max")) self.formLayout_2.setWidget(3, QtGui.QFormLayout.FieldRole, self.Chrm_max) self.verticalLayout_2.addLayout(self.formLayout_2) - self.horizontalLayout.addWidget(self.frame_2) - self.frame = QtGui.QFrame(Dialog) + self.horizontalLayout_2.addWidget(self.frame_2) + self.frame = QtGui.QFrame(self.frame_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) @@ -156,19 +162,30 @@ def setupUi(self, Dialog): self.Mute.setObjectName(_fromUtf8("Mute")) self.formLayout_3.setWidget(7, QtGui.QFormLayout.FieldRole, self.Mute) self.verticalLayout_3.addLayout(self.formLayout_3) - self.horizontalLayout.addWidget(self.frame) - self.verticalLayout.addLayout(self.horizontalLayout) - self.label_15 = QtGui.QLabel(Dialog) + self.horizontalLayout_2.addWidget(self.frame) + self.frame_2.raise_() + self.frame.raise_() + self.verticalLayout.addWidget(self.frame_4) + self.frame_3 = QtGui.QFrame(Dialog) + self.frame_3.setFrameShape(QtGui.QFrame.StyledPanel) + self.frame_3.setFrameShadow(QtGui.QFrame.Raised) + self.frame_3.setObjectName(_fromUtf8("frame_3")) + self.verticalLayout_4 = QtGui.QVBoxLayout(self.frame_3) + self.verticalLayout_4.setObjectName(_fromUtf8("verticalLayout_4")) + self.label_15 = QtGui.QLabel(self.frame_3) + self.label_15.setMaximumSize(QtCore.QSize(16777215, 15)) self.label_15.setObjectName(_fromUtf8("label_15")) - self.verticalLayout.addWidget(self.label_15) - self.Funt_Fitness = QtGui.QPlainTextEdit(Dialog) - sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Maximum) + self.verticalLayout_4.addWidget(self.label_15) + self.Funt_Fitness = QtGui.QPlainTextEdit(self.frame_3) + sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.Funt_Fitness.sizePolicy().hasHeightForWidth()) self.Funt_Fitness.setSizePolicy(sizePolicy) + self.Funt_Fitness.setMinimumSize(QtCore.QSize(0, 300)) self.Funt_Fitness.setObjectName(_fromUtf8("Funt_Fitness")) - self.verticalLayout.addWidget(self.Funt_Fitness) + self.verticalLayout_4.addWidget(self.Funt_Fitness) + self.verticalLayout.addWidget(self.frame_3) self.Aceptar_Cancelar = QtGui.QDialogButtonBox(Dialog) self.Aceptar_Cancelar.setOrientation(QtCore.Qt.Horizontal) self.Aceptar_Cancelar.setStandardButtons(QtGui.QDialogButtonBox.Cancel|QtGui.QDialogButtonBox.Ok) diff --git a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui index cf748be..5233ccc 100644 --- a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui +++ b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui @@ -6,8 +6,8 @@ 0 0 - 872 - 571 + 1012 + 743 @@ -15,306 +15,351 @@ - - - - - - 0 - 0 - - - - QFrame::StyledPanel - - - QFrame::Raised - - - - - - - 16777215 - 20 - - - - Chromosome params - - - - - - - QFormLayout::AllNonFixedFieldsGrow - - - - - Number of Chromosomes - - - - - - - - - - Value of Chromosome is float - - - - - - - - - - - - - - Minimum value - - - - - - - 0 - - - - - - - Maximum value - - - - - - - 0 - - - - - - - - - - - - - 0 - 0 - - - - QFrame::StyledPanel - - - QFrame::Raised - - - - - - - 16777215 - 20 - - - - Parameters of Genetic Algorithm - - - - - - - QFormLayout::AllNonFixedFieldsGrow - - - - - Size of pool - - - - - - - 100 - - - 9999 - - - 1000 - - - - - - - Child mode - - - - - - + + + + 16777215 + 311 + + + + QFrame::StyledPanel + + + QFrame::Raised + + + + + + + 0 + 0 + + + + QFrame::StyledPanel + + + QFrame::Raised + + + + + + + 16777215 + 20 + + + + Chromosome params + + + + + + + QFormLayout::AllNonFixedFieldsGrow + + + + + Number of Chromosomes + + + + + + + 9999999 + + + + + + + Value of Chromosome is float + + + + + - CHILD FLIP + - - + + + + - CHILD_SPLIT + Minimum value - - + + + + - CHILD_FLIP_TOURNAMENT_DETERMINISTIC + 0 - - + + + + - CHILD_FLIP_TOURNAMENT_PROBABILISTIC + Maximum value - - + + + + - CHILD_MEAN + 0 - - + + + + + + + + + + + + 0 + 0 + + + + QFrame::StyledPanel + + + QFrame::Raised + + + + + + + 16777215 + 20 + + + + Parameters of Genetic Algorithm + + + + + + + QFormLayout::AllNonFixedFieldsGrow + + + - CHILD_SPLIT_TOURNAMENT_DETERMINISTIC + Size of pool + + + + + + + 100 + + + 9999 + + + 1000 - - + + + + - CHILD_SPLIT_TOURNAMENT_PROBABILISTIC + Child mode - - - - - - - Selection mode - - - - - - + + + + + + + CHILD FLIP + + + + + CHILD_SPLIT + + + + + CHILD_FLIP_TOURNAMENT_DETERMINISTIC + + + + + CHILD_FLIP_TOURNAMENT_PROBABILISTIC + + + + + CHILD_MEAN + + + + + CHILD_SPLIT_TOURNAMENT_DETERMINISTIC + + + + + CHILD_SPLIT_TOURNAMENT_PROBABILISTIC + + + + + + - FILL + Selection mode - - + + + + + + + FILL + + + + + ROULETE + + + + + + - ROULETE + It max - - - - - - - It max - - - - - - - - - - Sort High to Low - - - - - - - - - - - - - - Chromosomes can be repeated - - - - - - - - - - - - - - Elitism - - - - - - - - - - Probability of mutating - - - - - - - - - - - - - - - - - Function Fitness - + + + + + + + + + Sort High to Low + + + + + + + + + + + + + + Chromosomes can be repeated + + + + + + + + + + + + + + Elitism + + + + + + + + + + Probability of mutating + + + + + + + + + + + + + + frame_2 + frame - - - - 0 - 0 - + + + QFrame::StyledPanel + + + QFrame::Raised - - #Variables to calculate fitness + + + + + + 16777215 + 15 + + + + Function Fitness + + + + + + + + 0 + 0 + + + + + 0 + 300 + + + + #Variables to calculate fitness def Fitness(item): """ item is of type array of crhomosomes Your code for calculate fitnness """ return fitness - + + + + diff --git a/GeneticAlgorithm/Genetic_Algorithm.py b/GeneticAlgorithm/Genetic_Algorithm.py index 671a941..4f58769 100644 --- a/GeneticAlgorithm/Genetic_Algorithm.py +++ b/GeneticAlgorithm/Genetic_Algorithm.py @@ -26,6 +26,7 @@ class GenecticException(Exception): what = None + class GeneticAlgorithm: """ The structure of a tuple of the PULL is: @@ -147,108 +148,48 @@ def __init__(self): if DEBUG: print inspect.stack()[0][3] try: - self.__ELITISM = None - self.__MUTE = None - self.__REVERSE = None - self.__SELECTION_TYPE = None - self.__SIZE_POOL = None - self._N_CHROMOSOMES = None - self.__FUN_FITNESS = None - self.__ITMAX = None - self.__TYPECHILD = None - self.__rangechild = None - self.__sizeelitism = None - self.__CHRO_IS_F = None - self.__CHRO_MAXVALUE = None - self.__CHRO_MINVALUE = None - self.__CAN_REPETEAD_CHRO = None + self.__attr = None self.__POOL = None - self.__TEST_POOL = None self.timer = QtCore.QTimer() self.timer.timeout.connect(self.__run) except: raise - def setattrGeneticAlgorithm(self, fun_fitness, chromosomes, itmax = 50, child_type = CHILD_FLIP, selection_type = FILL_NEXT_GENERATION, - High_Low = False, size_pool = 1000, porcent_elitism = 10, porcent_mute = 2, can_repeated_chro = False, testing = False): + def setattrGeneticAlgorithm(self, GA_attr): """ Set the params to instance, this function can raise a GeneticException - :param fun_fitness: is a pointer of function fitness - :param chromosomes: is a class of chromosomes_t - :param itmax: is a iteration max of funtion run - :param child_type: is a type of generate the next pool - :param selection_type: is a type of selection of individuos for generate the next pool - :param High_Low: is True if you search a individual which function fintness is max - :param size_pool: is the size of pool - :param porcent_elitism: is the percentage you want to keep in the pool - :param porcent_mute: is the percentage you want to keep in the group - :param can_repeated_chro: is True if the crhomosomes of individual can be repeated - :param testing: + :param GA_attr: contains params for the instance """ - if DEBUG: - print inspect.stack()[0][3] - if selection_type not in types_selection: - a = GenecticException - a.what = "Error: selection_type is not correct." - raise a - if porcent_elitism not in range(100): - a = GenecticException - a.what = "Error: porcent_elitism not in range [0,100]" - raise a - if porcent_mute not in range(100): - a = GenecticException - a.what = "Error: porcent_mute not in range [0,100]" - raise a - if High_Low not in [True, False]: - a = GenecticException - a.what = "Error: High_Low must be True or False", "Error: fun_fitness is None" - raise a - if chromosomes.CHRO_IS_F is can_repeated_chro and can_repeated_chro is not False: - a = GenecticException - a.what = "Error: If var 'chromosomes.CHRO_IS_F' is true 'can_repeated_chro' must be true" - raise a - if child_type not in types_Child: - a = GenecticException - a.what = "Error: child_type is not correct" - raise a try: - self.__ELITISM = porcent_elitism / 100.0 - self.__MUTE = porcent_mute - self.__REVERSE = High_Low - self.__SELECTION_TYPE = selection_type - self.__SIZE_POOL = size_pool - self._N_CHROMOSOMES = chromosomes.N_CHRO - self.__FUN_FITNESS = fun_fitness - self.__ITMAX = itmax - self.__TYPECHILD = child_type - self.__rangechild = (int)(self.__SIZE_POOL - self.__SIZE_POOL * self.__ELITISM) - self.__sizeelitism = (int)(self.__SIZE_POOL * self.__ELITISM) - self.__CHRO_IS_F = chromosomes.CHRO_IS_F - self.__CHRO_MAXVALUE = chromosomes.MAXVALUE - self.__CHRO_MINVALUE = chromosomes.MINVALUE - self.__CAN_REPETEAD_CHRO = can_repeated_chro - self.__POOL = self.__Generate_pool() - self.__TEST_POOL = testing + self.__attr=GA_attr + self.__POOL=self.__Generate_pool() except: raise + def getattrGemeticAlgorithm(self): + """ + Function that return all params in a intance of class GeneticAlgorithm_Attr_t + :return: self.__attr + """ + return copy.copy(self.__attr) + def __Generate_pool(self): """ Function that generate a pool """ if DEBUG: print inspect.stack()[0][3] - if self.__CHRO_IS_F is False: - if self.__CAN_REPETEAD_CHRO is False: - ind = range(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) - new_pool = [[sample(ind, self._N_CHROMOSOMES), 0, 0] for y in range(self.__SIZE_POOL)] + if self.__attr.CHRO_IS_F is False: + if self.__attr.CAN_REPETEAD_CHRO is False: + ind = range(self.__attr.CHRO_MINVALUE, self.__attr.CHRO_MAXVALUE) + new_pool = [[sample(ind, self.__attr.N_CHROMOSOMES), 0, 0] for y in range(self.__attr.SIZE_POOL)] else: - new_pool = [[[randint(self.__CHRO_MINVALUE,self.__CHRO_MAXVALUE) for x in range(self._N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] + new_pool = [[[randint(self.__attr.CHRO_MINVALUE,self.__attr.CHRO_MAXVALUE) for x in range(self.__attr.N_CHROMOSOMES)], 0, 0] for y in range(self.__attr.SIZE_POOL)] return new_pool else: new_pool = [ - [[uniform(self.__CHRO_MINVALUE, self.__CHRO_MAXVALUE) for x in range(self._N_CHROMOSOMES)], 0, 0] for y - in range(self.__SIZE_POOL)] + [[uniform(self.__attr.CHRO_MINVALUE, self.__attr.CHRO_MAXVALUE) for x in range(self.__attr.N_CHROMOSOMES)], 0, 0] for y + in range(self.__attr.SIZE_POOL)] return new_pool def __getKey(self, item): @@ -265,9 +206,9 @@ def __Get_Individuos(self, individual): """ #if DEBUG: # print inspect.stack()[0][3] - if individual not in range(0, self.__SIZE_POOL): + if individual not in range(0, self.__attr.SIZE_POOL): a = GenecticException - a.what = "Error: individual", individual, " not existing, 0 < = individual < " + str(self.__SIZE_POOL) + a.what = "Error: individual", individual, " not existing, 0 < = individual < " + str(self.__attr.SIZE_POOL) raise a return copy.copy(self.__POOL[individual][0]) @@ -277,9 +218,9 @@ def __Set_Fittnes(self, individual, Fittnes): """ #if DEBUG: # print inspect.stack()[0][3] - if individual not in range(0, self.__SIZE_POOL): + if individual not in range(0, self.__attr.SIZE_POOL): a = GenecticException - a.what = "Error: individual", individual, " not existing, 0 < = individual < " + str(self.__SIZE_POOL) + a.what = "Error: individual", individual, " not existing, 0 < = individual < " + str(self.__attr.SIZE_POOL) raise a self.__POOL[individual][1] = Fittnes @@ -298,7 +239,7 @@ def __Generate_Child_flip(self, item): if DEBUG: print inspect.stack()[0][3] child = copy.copy(item) - index = [randint(0, self._N_CHROMOSOMES - 1), randint(0, self._N_CHROMOSOMES - 1)] + index = [randint(0, self.__attr.N_CHROMOSOMES - 1), randint(0, self.__attr.N_CHROMOSOMES - 1)] index.sort() revert = copy.copy(item[index[0]:index[1]]) child[index[0]:index[1]] = revert[::-1] @@ -311,21 +252,21 @@ def __Generate_Child_Flip_tournament(self, item): if DEBUG: print inspect.stack()[0][3] child = copy.copy(item) - index = [randint(0, self._N_CHROMOSOMES - 1), randint(0, self._N_CHROMOSOMES - 1)] + index = [randint(0, self.__attr.N_CHROMOSOMES - 1), randint(0, self.__attr.N_CHROMOSOMES - 1)] index.sort() revert = copy.copy(item[index[0]:index[1]]) child[index[0]:index[1]] = revert[::-1] child2 = copy.copy(item) revert2left = child2[0:index[0]] - revert2right = child2[index[1]: self._N_CHROMOSOMES - 1] + revert2right = child2[index[1]: self.__attr.N_CHROMOSOMES - 1] child2[0:index[0]] = revert2left[::-1] - child2[index[1]:self._N_CHROMOSOMES - 1] = revert2right[::-1] + child2[index[1]:self.__attr.N_CHROMOSOMES - 1] = revert2right[::-1] listIndividual = [item, child, child2] - if self.__TYPECHILD is CHILD_FLIP_TOURNAMENT_DETERMINISTIC: + if self.__attr.TYPECHILD is CHILD_FLIP_TOURNAMENT_DETERMINISTIC: return self.__Tournament_Selection_Deterministic(listIndividual) - elif self.__TYPECHILD is CHILD_FLIP_TOURNAMENT_PROBABILISTIC: + elif self.__attr.TYPECHILD is CHILD_FLIP_TOURNAMENT_PROBABILISTIC: return self.__Tournament_Selection_Probabilistic(listIndividual) def __Generate_Child_split(self, item1, item2): @@ -336,10 +277,10 @@ def __Generate_Child_split(self, item1, item2): print inspect.stack()[0][3] child1 = copy.copy(item1) child2 = copy.copy(item2) - split = randint(1, self._N_CHROMOSOMES - 1) + split = randint(1, self.__attr.N_CHROMOSOMES - 1) child1[split:] = copy.copy(child2[split:]) # [item1[::split],item2[split::]] child2[split:] = copy.copy(item1[split:]) # [item2[::split],item1[split::]] - if self.__CAN_REPETEAD_CHRO is False: + if self.__attr.CAN_REPETEAD_CHRO is False: return [self.__Replace_repeated(child1),self.__Replace_repeated(child2)] else: return [child1,child2] @@ -351,14 +292,14 @@ def __Generate_Child_Mean(self, item1, item2): if DEBUG: print inspect.stack()[0][3] child = copy.copy(item1) - if self.__CHRO_IS_F is True: - for i in range(self._N_CHROMOSOMES): + if self.__attr.CHRO_IS_F is True: + for i in range(self.__attr.N_CHROMOSOMES): child[i] = (item1[i]+item2[1])/2 else: - for i in range(self._N_CHROMOSOMES): + for i in range(self.__attr.N_CHROMOSOMES): f = (item1[i] + item2[i])/2 child[i] = int(math.floor(f)) - if self.__CAN_REPETEAD_CHRO is False: + if self.__attr.CAN_REPETEAD_CHRO is False: self.__Replace_repeated(child) return child @@ -368,7 +309,7 @@ def __Replace_repeated(self, child): """ if DEBUG: print inspect.stack()[0][3] - n = self.__CHRO_MINVALUE + n = self.__attr.CHRO_MINVALUE for i in range(0,len(child)-1): if child[i] in child[i + 1:]: while (True): @@ -387,9 +328,9 @@ def __Generate_Child_split_tournament(self, item1, item2): childs=self.__Generate_Child_split(item1, item2) childs.append(item1) childs.append(item2) - if self.__TYPECHILD is CHILD_SPLIT_TOURNAMENT_DETERMINISTIC: + if self.__attr.TYPECHILD is CHILD_SPLIT_TOURNAMENT_DETERMINISTIC: return self.__Tournament_Selection_Deterministic(childs) - elif self.__TYPECHILD is CHILD_SPLIT_TOURNAMENT_PROBABILISTIC: + elif self.__attr.TYPECHILD is CHILD_SPLIT_TOURNAMENT_PROBABILISTIC: return self.__Tournament_Selection_Probabilistic(childs) def __Generate_Child(self, item1, item2 = None): @@ -398,15 +339,15 @@ def __Generate_Child(self, item1, item2 = None): """ if DEBUG: print inspect.stack()[0][3] - if self.__TYPECHILD is CHILD_FLIP: + if self.__attr.TYPECHILD is CHILD_FLIP: return self.__Generate_Child_flip(item1) - elif self.__TYPECHILD in [CHILD_FLIP_TOURNAMENT_DETERMINISTIC, CHILD_FLIP_TOURNAMENT_PROBABILISTIC]: + elif self.__attr.TYPECHILD in [CHILD_FLIP_TOURNAMENT_DETERMINISTIC, CHILD_FLIP_TOURNAMENT_PROBABILISTIC]: return self.__Generate_Child_Flip_tournament(item1) - elif self.__TYPECHILD is CHILD_SPLIT: + elif self.__attr.TYPECHILD is CHILD_SPLIT: return self.__Generate_Child_split(item1, item2) - elif self.__TYPECHILD is CHILD_MEAN: + elif self.__attr.TYPECHILD is CHILD_MEAN: return self.__Generate_Child_Mean(item1, item2) - elif self.__TYPECHILD in [CHILD_SPLIT_TOURNAMENT_DETERMINISTIC,CHILD_SPLIT_TOURNAMENT_PROBABILISTIC]: + elif self.__attr.TYPECHILD in [CHILD_SPLIT_TOURNAMENT_DETERMINISTIC,CHILD_SPLIT_TOURNAMENT_PROBABILISTIC]: return self.__Generate_Child_split_tournament(item1, item2) def __Fill_Next_Generation(self): @@ -416,20 +357,20 @@ def __Fill_Next_Generation(self): if DEBUG: print inspect.stack()[0][3] new_pull = copy.copy(self.__POOL) - if self.__TYPECHILD in types_childs_1: - for i in (range(0, self.__rangechild)): + if self.__attr.TYPECHILD in types_childs_1: + for i in (range(0, self.__attr.rangechild)): child = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2 = self.__POOL[i+1][0]) - dest = i + self.__sizeelitism - if randint(0, 99) < self.__MUTE: - child = self.__mute_individuals(child) + dest = i + self.__attr.sizeelitism + if randint(0, 99) < self.__attr.MUTE: + child = self.mute_individuals(child) new_pull[dest][0] = copy.copy(child) - elif self.__TYPECHILD in types_childs_2: - for i in (range(0, self.__rangechild, 2)): + elif self.__attr.TYPECHILD in types_childs_2: + for i in (range(0, self.__attr.rangechild, 2)): childs = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2 = copy.copy(self.__POOL[i + 1][0])) - dest = i + self.__sizeelitism + dest = i + self.__attr.sizeelitism for j in [0,1]: - if randint(0, 99) < self.__MUTE: - childs[j] = self.__mute_individuals(childs[j]) + if randint(0, 99) < self.__attr.MUTE: + childs[j] = self.mute_individuals(childs[j]) new_pull[dest+j][0] = copy.copy(childs[j]) return new_pull @@ -441,7 +382,7 @@ def __Tournament_Selection_Deterministic(self, listItems): print inspect.stack()[0][3] dict = {} for i in range(0, len(listItems)): - dict[i] = self.__FUN_FITNESS(listItems[i]) + dict[i] = self.__attr.FUN_FITNESS(listItems[i]) return listItems[sorted(dict, reverse = True)[0]] def __Tournament_Selection_Probabilistic(self, listItems): @@ -459,37 +400,37 @@ def __Roulette(self): if DEBUG: print inspect.stack()[0][3] new_pool = copy.copy(self.__POOL) - for i in (range(1, self.__SIZE_POOL)): + for i in (range(1, self.__attr.SIZE_POOL)): self.__POOL[i][1] = self.__POOL[i][1] + self.__POOL[i - 1][1] - for i in (range(0, self.__SIZE_POOL)): - self.__POOL[i][2] = 1 - (self.__POOL[i][1] / self.__POOL[self.__SIZE_POOL - 1][1]) + for i in (range(0, self.__attr.SIZE_POOL)): + self.__POOL[i][2] = 1 - (self.__POOL[i][1] / self.__POOL[self.__attr.SIZE_POOL - 1][1]) - if self.__TYPECHILD in types_childs_1: - for i in (range(0, self.__rangechild)): + if self.__attr.TYPECHILD in types_childs_1: + for i in (range(0, self.__attr.rangechild)): selec = random() - for j in range(0, self.__SIZE_POOL)[::-1]: + for j in range(0, self.__attr.SIZE_POOL)[::-1]: if selec < self.__POOL[j][2]: break child = self.__Generate_Child(copy.copy(self.__POOL[j][0]),copy.copy(self.__POOL[j+1][0])) - dest = i + self.__sizeelitism - if randint(0, 99) < self.__MUTE: - child = self.__mute_individuals(child) + dest = i + self.__attr.sizeelitism + if randint(0, 99) < self.__attr.MUTE: + child = self.mute_individuals(child) new_pool[dest][0] = copy.copy(child) - elif self.__TYPECHILD in types_childs_2: - for i in (range(0, self.__rangechild, 2)): + elif self.__attr.TYPECHILD in types_childs_2: + for i in (range(0, self.__attr.rangechild, 2)): selec1 = random() selec2 = random() - for j in range(0, self.__SIZE_POOL)[::-1]: + for j in range(0, self.__attr.SIZE_POOL)[::-1]: if selec1 < self.__POOL[j][2]: break - for k in range(0, self.__SIZE_POOL)[::-1]: + for k in range(0, self.__attr.SIZE_POOL)[::-1]: if selec2 < self.__POOL[k][2]: break childs = self.__Generate_Child(copy.copy(self.__POOL[j][0]), copy.copy(self.__POOL[k][0])) - dest = i + self.__sizeelitism + dest = i + self.__attr.sizeelitism for j in [0,1]: - if randint(0, 99) < self.__MUTE: - childs[j] = self.__mute_individuals(childs[j]) + if randint(0, 99) < self.__attr.MUTE: + childs[j] = self.mute_individuals(childs[j]) new_pool[dest+j][0] = copy.copy(childs[j]) return new_pool @@ -499,18 +440,18 @@ def __Next_Generation(self): """ if DEBUG: print inspect.stack()[0][3] - if self.__SELECTION_TYPE is FILL_NEXT_GENERATION: + if self.__attr.SELECTION_TYPE is FILL_NEXT_GENERATION: self.__Fill_Next_Generation() - elif self.__SELECTION_TYPE is ROULETTE: + elif self.__attr.SELECTION_TYPE is ROULETTE: self.__Roulette() - def __mute_individuals(self, item): + def mute_individuals(self, item): """ Function that mute a individuos """ if DEBUG: print inspect.stack()[0][3] - index = [randint(0, self._N_CHROMOSOMES - 1), randint(0, self._N_CHROMOSOMES - 1)] + index = [randint(0, self.__attr.N_CHROMOSOMES - 1), randint(0, self.__attr.N_CHROMOSOMES - 1)] index.sort() a = copy.copy(item[index[0]:index[1]]) b = copy.copy(item) @@ -521,10 +462,10 @@ def __mute_individuals(self, item): def __run(self): if DEBUG: print inspect.stack()[0][3] - for i in range(self.__SIZE_POOL): + for i in range(self.__attr.SIZE_POOL): item = self.__Get_Individuos(i) - self.__Set_Fittnes(i, self.__FUN_FITNESS(item)) - self.__sort_pool(self.__REVERSE) + self.__Set_Fittnes(i, self.__attr.FUN_FITNESS(item)) + self.__sort_pool(self.__attr.REVERSE) print "\rThe winer is: ", self.Winner_Probability()[1], self.__Next_Generation() @@ -536,20 +477,20 @@ def set_pool(self, pool): """ if DEBUG: print inspect.stack()[0][3] - if self._N_CHROMOSOMES is not len(pool[0][0]): + if self.__attr.N_CHROMOSOMES is not len(pool[0][0]): a = GenecticException a.what = "Error: the size of the individuos of pool is not correct." raise a - self.__TEST_POOL = True + self.__attr.TEST_POOL = True self.__POOL = copy.copy(pool) def get_empty_pool(self): """ - :return: a empty pool of the type [[[0 for x in range(self.__N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] + :return: a empty pool of the type [[[0 for x in range(self.___attr.N_CHROMOSOMES)], 0, 0] for y in range(self.__attr.SIZE_POOL)] """ if DEBUG: print inspect.stack()[0][3] - pool = [[[0 for x in range(self._N_CHROMOSOMES)], 0, 0] for y in range(self.__SIZE_POOL)] + pool = [[[0 for x in range(self.__attr.N_CHROMOSOMES)], 0, 0] for y in range(self.__attr.SIZE_POOL)] return pool def get_pool(self): @@ -566,7 +507,7 @@ def print_individuals(self): """ if DEBUG: print inspect.stack()[0][3] - for i in range(0, self.__SIZE_POOL): + for i in range(0, self.__attr.SIZE_POOL): print self.__POOL[i][:] def Winner_Probability(self): @@ -584,11 +525,11 @@ def run(self, print_best=0): """ if DEBUG: print inspect.stack()[0][3] - for x in range(self.__ITMAX): - for i in range(self.__SIZE_POOL): + for x in range(self.__attr.ITMAX): + for i in range(self.__attr.SIZE_POOL): item = self.__Get_Individuos(i) - self.__Set_Fittnes(i, self.__FUN_FITNESS(item)) - self.__sort_pool(self.__REVERSE) + self.__Set_Fittnes(i, self.__attr.FUN_FITNESS(item)) + self.__sort_pool(self.__attr.REVERSE) print "\rThe winer is: ", self.Winner_Probability()[1], if print_best is not 0: print "\rThe winer is: ", self.Winner_Probability()[1] @@ -607,7 +548,7 @@ def start(self,period=100): Run a timer with period, this timer is connect with Function main that run the algorithm :param period: """ - if self.__FUN_FITNESS is None: + if self.__attr.FUN_FITNESS is None: a = GenecticException a.what = "Error: It is necessary to initialize the parameters with setattrGeneticAlgorithm" raise a diff --git a/GeneticAlgorithm/__init__.py b/GeneticAlgorithm/__init__.py index 3e9c271..46bdd0a 100644 --- a/GeneticAlgorithm/__init__.py +++ b/GeneticAlgorithm/__init__.py @@ -3,5 +3,5 @@ from __builtin__ import str from random import * from time import * -from Genetic_Algorithm import * -from Chromosome import * \ No newline at end of file +from Chromosome import * + diff --git a/examples/Traveling_Salesman_Problem/main.py b/examples/Traveling_Salesman_Problem/main.py index c956e19..013ba04 100644 --- a/examples/Traveling_Salesman_Problem/main.py +++ b/examples/Traveling_Salesman_Problem/main.py @@ -1,4 +1,4 @@ -import TSP_gui +import TSP_gui,sys from GeneticAlgorithm.GeneticAlgorithm_gui import * from scene import * @@ -274,7 +274,7 @@ def stop(self): def init(self): try: self.GA=GeneticAlgorithm_gui() - self.scenev.set_listCities(pcities[:self.GA.get_N_Chrom()]) + self.scenev.set_listCities(pcities[:self.GA.getattrGemeticAlgorithm().N_CHROMOSOMES]) self.scenev.RePaint() scale = [self.ui.graphicsView.width() / self.scenev.width() - 0.01, self.ui.graphicsView.height() / self.scenev.height() - 0.01] scale.sort() diff --git a/install.sh b/install.sh index d485f97..45a70f2 100644 --- a/install.sh +++ b/install.sh @@ -1,3 +1,5 @@ #!/usr/bin/env bash +sudo apt-get update +sudo apt-get install python2.7 python-pyparsing python-numpy python-pyside pyside-tools python-pip sudo python setup.py install From 8cc135eb450b27dfd8a78886e4b500bacdb91a44 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Iv=C3=A1n=20Barbecho=20Delgado?= Date: Tue, 13 Dec 2016 01:52:03 +0100 Subject: [PATCH 34/47] Create LICENSE --- LICENSE | 674 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 674 insertions(+) create mode 100644 LICENSE diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..9cecc1d --- /dev/null +++ b/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. From 723b0b2acf5700db6c29ab42edd28ee826e26581 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Tue, 13 Dec 2016 20:59:00 +0100 Subject: [PATCH 35/47] Update CHILD_FLIP_TOURNAMENT_DETERMINISTIC and scale scene --- GeneticAlgorithm/Genetic_Algorithm.py | 18 +++++++++++++----- examples/Traveling_Salesman_Problem/main.py | 13 +++++++------ 2 files changed, 20 insertions(+), 11 deletions(-) diff --git a/GeneticAlgorithm/Genetic_Algorithm.py b/GeneticAlgorithm/Genetic_Algorithm.py index 4f58769..75abae4 100644 --- a/GeneticAlgorithm/Genetic_Algorithm.py +++ b/GeneticAlgorithm/Genetic_Algorithm.py @@ -359,14 +359,20 @@ def __Fill_Next_Generation(self): new_pull = copy.copy(self.__POOL) if self.__attr.TYPECHILD in types_childs_1: for i in (range(0, self.__attr.rangechild)): - child = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2 = self.__POOL[i+1][0]) + if(i is not self.__attr.rangechild): + child = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2 = self.__POOL[i+1][0]) + else: + child = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2=self.__POOL[i - 1][0]) dest = i + self.__attr.sizeelitism if randint(0, 99) < self.__attr.MUTE: child = self.mute_individuals(child) new_pull[dest][0] = copy.copy(child) elif self.__attr.TYPECHILD in types_childs_2: for i in (range(0, self.__attr.rangechild, 2)): - childs = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2 = copy.copy(self.__POOL[i + 1][0])) + if (i is not self.__attr.rangechild): + childs = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2 = copy.copy(self.__POOL[i + 1][0])) + else: + childs = self.__Generate_Child(copy.copy(self.__POOL[i][0]), item2=self.__POOL[i - 1][0]) dest = i + self.__attr.sizeelitism for j in [0,1]: if randint(0, 99) < self.__attr.MUTE: @@ -380,10 +386,12 @@ def __Tournament_Selection_Deterministic(self, listItems): """ if DEBUG: print inspect.stack()[0][3] - dict = {} + dict = [[0,0]for x in range(len(listItems))] for i in range(0, len(listItems)): - dict[i] = self.__attr.FUN_FITNESS(listItems[i]) - return listItems[sorted(dict, reverse = True)[0]] + dict[i][1] = self.__attr.FUN_FITNESS(listItems[i]) + dict[i][0] = listItems[i] + dict.sort(key=self.__getKey,reverse=self.__attr.REVERSE) + return dict[0][0] def __Tournament_Selection_Probabilistic(self, listItems): """ diff --git a/examples/Traveling_Salesman_Problem/main.py b/examples/Traveling_Salesman_Problem/main.py index 013ba04..8f46c48 100644 --- a/examples/Traveling_Salesman_Problem/main.py +++ b/examples/Traveling_Salesman_Problem/main.py @@ -208,7 +208,7 @@ def Fitness(item): dist = 0 cityant = item[0] - for cityact in item[1:20]: + for cityact in item[1:len(item)]: dist = dist + distance[cityant][cityact] cityant = cityact dist = dist + distance[cityant][item[0]] @@ -229,6 +229,7 @@ def __init__(self): self.scenev = None self.winneract=None self.winnerant=None + self.scaleant=None app = QtGui.QApplication(sys.argv) Dialog = QtGui.QDialog() self.ui = TSP_gui.Ui_Dialog() @@ -262,8 +263,8 @@ def update_view(self): @QtCore.Slot() def start(self): - self.GA.start(100) - self.timer.start(100) + self.GA.start(0) + self.timer.start(0) @QtCore.Slot() def stop(self): @@ -278,12 +279,12 @@ def init(self): self.scenev.RePaint() scale = [self.ui.graphicsView.width() / self.scenev.width() - 0.01, self.ui.graphicsView.height() / self.scenev.height() - 0.01] scale.sort() - if scale[0] != self.init.scaleant: + print self.scaleant , scale[0] + if self.scaleant != scale[0]: self.ui.graphicsView.scale(scale[0], scale[0]) - self.init.scaleant = scale[0] + self.scaleant = scale[0] except: pass - init.scaleant=None if __name__ == "__main__": main() From da2750633609b26e34510160170a28e246c9a647 Mon Sep 17 00:00:00 2001 From: Juan Pedro Date: Thu, 15 Dec 2016 15:52:20 +0100 Subject: [PATCH 36/47] Create README.md * Create README.md * Update README.md --- README.md | 102 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 102 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..8ca5f6c --- /dev/null +++ b/README.md @@ -0,0 +1,102 @@ +# Genetic Algorithm Library for Python + +Genetic Algorithm Library is a generic implementation of differents method to resolve genetic algorithm problems for Python. Currently working on Python 2.7. + +You can : + - Use different methods for filling the next generation. + - Work with float or integer values, what best suits your problem. + - Define your fitness function, to fit the problem. + - Adjust almost all parameters of the algorithm. + +Web +--------- +Please feel free to visit our [website](https://ibarbech.github.io/GeneticAlgorithmLibraryPython/). + + +Some history of the project +--------- + +This project started as a project for an university subject of bio-inspired computing, after the first work we started to think to public the project on GitHub and here we are. + + + +### Tech + +Our library uses a few open source projects to work properly: + +* PySide - For creating the User interface. +* Numpy - For array and number operations. +* Pyparsing - For work with strings. + + +And of course the library itself is open source with a [public repository](https://github.com/ibarbech/GeneticAlgorithmLibraryPython) + on GitHub. + + +### Installation + +Our library requires [Python](https://www.python.org/downloads/) 2.7.x to run. + +Currently we haven't got a release, but we are working on it. +Anyways, you can download the content of the Master branch. + +Install the dependencies. + +```sh +$ cd GeneticAlgorithmPythonLibrary +$ sudo install.sh +``` + +If you can launch the script... + +```sh +$ sudo chmod 557 install.sh +``` + + +### User Interface + +We currently offer a simple user interface for our example problem [TSP](https://en.wikipedia.org/wiki/Travelling_salesman_problem). + + +We will try to offer a way to easy change the ui for visualization of the results. + + + +### Development + +Want to contribute? Great! + +Feel free to modify the code and submit a pull request, we will integrate it on the repository version. + +You can contact us in our GitHub profiles + - [Ivan Barbecho] + - [Juan Pedro Torres] + + +### Todos + + - Example of use in a implementation + - Release a stable version + - Add Code Comments + - Comparison between methods + - Cython (?) + - More improvements to come + + +License +---- + +[GPL-3.0] + + + +[//]: # (These are reference links used in the body of this note and get stripped out when the markdown processor does its job. There is no need to format nicely because it shouldn't be seen. Thanks SO - http://stackoverflow.com/questions/4823468/store-comments-in-markdown-syntax) + +[Ivan Barbecho]: +[Juan Pedro Torres]: + [GPL-3.0]: + [Pyparsing]: + [PySide]: + [Numpy]: + From b60c099ea89da0b8b2b193aef2fb3158fc42b4dd Mon Sep 17 00:00:00 2001 From: Juan Pedro Date: Thu, 15 Dec 2016 15:55:02 +0100 Subject: [PATCH 37/47] Update README.md error --- README.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 8ca5f6c..2da2f62 100644 --- a/README.md +++ b/README.md @@ -69,10 +69,9 @@ Want to contribute? Great! Feel free to modify the code and submit a pull request, we will integrate it on the repository version. -You can contact us in our GitHub profiles - - [Ivan Barbecho] - - [Juan Pedro Torres] - +You can contact us in our GitHub profiles : +- [Ivan Barbecho] +- [Juan Pedro Torres] ### Todos From 04b722f168b6723d49020b9800b78613a2bdef11 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Thu, 15 Dec 2016 19:48:25 +0100 Subject: [PATCH 38/47] Update README and install.sh --- README.md | 2 -- install.sh | 2 +- 2 files changed, 1 insertion(+), 3 deletions(-) diff --git a/README.md b/README.md index 2da2f62..20fab59 100644 --- a/README.md +++ b/README.md @@ -25,8 +25,6 @@ This project started as a project for an university subject of bio-inspired comp Our library uses a few open source projects to work properly: * PySide - For creating the User interface. -* Numpy - For array and number operations. -* Pyparsing - For work with strings. And of course the library itself is open source with a [public repository](https://github.com/ibarbech/GeneticAlgorithmLibraryPython) diff --git a/install.sh b/install.sh index 45a70f2..1e4e255 100644 --- a/install.sh +++ b/install.sh @@ -1,5 +1,5 @@ #!/usr/bin/env bash sudo apt-get update -sudo apt-get install python2.7 python-pyparsing python-numpy python-pyside pyside-tools python-pip +sudo apt-get install python2.7 python-pyside pyside-tools python-pip sudo python setup.py install From f10105c98d212cf62c6ad353021440d450cffed0 Mon Sep 17 00:00:00 2001 From: JuanP Torres Date: Sun, 1 Jan 2017 16:12:05 +0100 Subject: [PATCH 39/47] Example - Launching the GUI and running with your configuration --- examples/GUI_example/main.py | 10 ++++++++++ install.sh | 0 2 files changed, 10 insertions(+) create mode 100644 examples/GUI_example/main.py mode change 100644 => 100755 install.sh diff --git a/examples/GUI_example/main.py b/examples/GUI_example/main.py new file mode 100644 index 0000000..be4e2bc --- /dev/null +++ b/examples/GUI_example/main.py @@ -0,0 +1,10 @@ +from GeneticAlgorithm import GeneticAlgorithm_gui +import sys +from PySide import QtGui + +app = QtGui.QApplication(sys.argv) +GA= GeneticAlgorithm_gui.GeneticAlgorithm_gui() + +GA.run() + +print GA.Winner_Probability() \ No newline at end of file diff --git a/install.sh b/install.sh old mode 100644 new mode 100755 From 985e01d7fdd58d53e74a9a47f2da664a6dc4941b Mon Sep 17 00:00:00 2001 From: JuanP Torres Date: Sun, 1 Jan 2017 17:19:45 +0100 Subject: [PATCH 40/47] Example - TSP w/o GUI simple script. --- examples/simple_NONGUI_example/main.py | 79 ++++++++++++++++++++++++++ 1 file changed, 79 insertions(+) create mode 100644 examples/simple_NONGUI_example/main.py diff --git a/examples/simple_NONGUI_example/main.py b/examples/simple_NONGUI_example/main.py new file mode 100644 index 0000000..9ce2843 --- /dev/null +++ b/examples/simple_NONGUI_example/main.py @@ -0,0 +1,79 @@ +from GeneticAlgorithm.Genetic_Algorithm import * + +""" + +Distance matrix between each city. +Used in the library to calculate each generation, fitness, etc. + +""" + +distance = [ + [9.22337203685e+18, 20.0, 15.0, 30.0, 25.0, 40.0, 30.0, 60.0, 50.0, 45.0], + [20.0, 9.22337203685e+18, 30.0, 20.0, 15.0, 15.0, 20.0, 40.0, 40.0, 30.0], + [15.0, 30.0, 9.22337203685e+18, 25.0, 30.0, 20.0, 30.0, 40.0, 45.0, 50.0], + [30.0, 20.0, 25.0, 9.22337203685e+18, 20.0, 30.0, 10.0, 50.0, 40.0, 30.0], + [25.0, 15.0, 30.0, 20.0, 9.22337203685e+18, 10.0, 20.0, 20.0, 30.0, 40.0], + [40.0, 15.0, 20.0, 30.0, 10.0, 9.22337203685e+18, 20.0, 30.0, 20.0, 30.0], + [30.0, 20.0, 30.0, 10.0, 20.0, 20.0, 9.22337203685e+18, 35.0, 40.0, 30.0], + [60.0, 40.0, 40.0, 50.0, 20.0, 30.0, 35.0, 9.22337203685e+18, 30.0, 15.0], + [50.0, 40.0, 45.0, 40.0, 30.0, 20.0, 40.0, 30.0, 9.22337203685e+18, 20.0], + [45.0, 30.0, 50.0, 30.0, 40.0, 30.0, 30.0, 15.0, 20.0, 9.22337203685e+18]] + +""" + +Function defined to calculate the fitness of each individual +Used in the library - Necessary to past it to the Atributes + +""" + + +def fitness(item): + dist = 0 + cityant = item[0] + for cityact in item[1:10]: + dist = dist + distance[cityant][cityact] + cityant = cityact + dist = dist + distance[cityant][item[0]] + return dist + + +GA = GeneticAlgorithm() + +""" + + Call to configure the chromosome values. + interval of values [minvalue,maxvalue) + size of 10 chromosomes + +""" +chrom = chromosome_t(10, maxvalue=10, minvalue=0, + chromosomes_is_float=True) + +""" + +Configure the attr of the algorithm, child gen, selection type,pool size, elitism, mutation, etc + +""" +GA_attr = GeneticAlgorithm_Attr_t(fitness, chromosomes=chrom, itmax=1000, + child_type=CHILD_FLIP, + selection_type=FILL_NEXT_GENERATION, + High_Low=False, + size_pool=1000, + porcent_elitism=10, porcent_mute=3, + can_repeated_chro=False) +GA.setattrGeneticAlgorithm(GA_attr) + +""" + +Run the Genetic Algorithm Until the conditions are fulfilled + +""" + +GA.run() + +""" + +Print the best individual + +""" +print GA.Winner_Probability() From 58477cae20b5d6671059581d53aa99bcc68c3dad Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 2 Jan 2017 12:43:03 +0100 Subject: [PATCH 41/47] Added Genetic_Algorithm_attr.py --- GeneticAlgorithm/GeneticAlgorithm_gui/gui.py | 3 +- GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui | 9 +-- GeneticAlgorithm/Genetic_Algorithm_attr.py | 68 ++++++++++++++++++++ 3 files changed, 74 insertions(+), 6 deletions(-) create mode 100644 GeneticAlgorithm/Genetic_Algorithm_attr.py diff --git a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py index 79d67a9..85de413 100644 --- a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py +++ b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py @@ -133,6 +133,7 @@ def setupUi(self, Dialog): self.label_10.setObjectName(_fromUtf8("label_10")) self.formLayout_3.setWidget(3, QtGui.QFormLayout.LabelRole, self.label_10) self.Itmax = QtGui.QSpinBox(self.frame) + self.Itmax.setMaximum(100000000) self.Itmax.setObjectName(_fromUtf8("Itmax")) self.formLayout_3.setWidget(3, QtGui.QFormLayout.FieldRole, self.Itmax) self.label_11 = QtGui.QLabel(self.frame) @@ -163,8 +164,6 @@ def setupUi(self, Dialog): self.formLayout_3.setWidget(7, QtGui.QFormLayout.FieldRole, self.Mute) self.verticalLayout_3.addLayout(self.formLayout_3) self.horizontalLayout_2.addWidget(self.frame) - self.frame_2.raise_() - self.frame.raise_() self.verticalLayout.addWidget(self.frame_4) self.frame_3 = QtGui.QFrame(Dialog) self.frame_3.setFrameShape(QtGui.QFrame.StyledPanel) diff --git a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui index 5233ccc..9af40df 100644 --- a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui +++ b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui @@ -251,7 +251,11 @@ - + + + 100000000 + + @@ -307,9 +311,6 @@ - - frame_2 - frame diff --git a/GeneticAlgorithm/Genetic_Algorithm_attr.py b/GeneticAlgorithm/Genetic_Algorithm_attr.py new file mode 100644 index 0000000..f1bb8a6 --- /dev/null +++ b/GeneticAlgorithm/Genetic_Algorithm_attr.py @@ -0,0 +1,68 @@ +from GeneticAlgorithm.Genetic_Algorithm import * + + + + +class GeneticAlgorithm_Attr_t(): + + def __init__(self, fun_fitness, chromosomes, itmax=50, child_type=CHILD_FLIP, selection_type=FILL_NEXT_GENERATION, + High_Low=False, size_pool=1000, porcent_elitism=10, porcent_mute=2, can_repeated_chro=False, testing=False): + """ + Greate instance and set params to instance, this function can raise a GeneticException + :param fun_fitness: is a pointer of function fitness + :param chromosomes: is a class of chromosomes_t + :param itmax: is a iteration max of funtion run + :param child_type: is a type of generate the next pool + :param selection_type: is a type of selection of individuos for generate the next pool + :param High_Low: is True if you search a individual which function fintness is max + :param size_pool: is the size of pool + :param porcent_elitism: is the percentage you want to keep in the pool + :param porcent_mute: is the percentage you want to keep in the group + :param can_repeated_chro: is True if the crhomosomes of individual can be repeated + :param testing: + """ + if DEBUG: + print inspect.stack()[0][3] + if selection_type not in types_selection: + a = GenecticException + a.what = "Error: selection_type is not correct." + raise a + if porcent_elitism not in range(100): + a = GenecticException + a.what = "Error: porcent_elitism not in range [0,100]" + raise a + if porcent_mute not in range(100): + a = GenecticException + a.what = "Error: porcent_mute not in range [0,100]" + raise a + if High_Low not in [True, False]: + a = GenecticException + a.what = "Error: High_Low must be True or False", "Error: fun_fitness is None" + raise a + if chromosomes.CHRO_IS_F is can_repeated_chro and can_repeated_chro is not False: + a = GenecticException + a.what = "Error: If var 'chromosomes.CHRO_IS_F' is true 'can_repeated_chro' must be true" + raise a + if child_type not in types_Child: + a = GenecticException + a.what = "Error: child_type is not correct" + raise a + try: + self.ELITISM = porcent_elitism / 100.0 + self.MUTE = porcent_mute + self.REVERSE = High_Low + self.SELECTION_TYPE = selection_type + self.SIZE_POOL = size_pool + self.N_CHROMOSOMES = chromosomes.N_CHRO + self.FUN_FITNESS = fun_fitness + self.ITMAX = itmax + self.TYPECHILD = child_type + self.rangechild = (int)(self.SIZE_POOL - self.SIZE_POOL * self.ELITISM)-1 + self.sizeelitism = (int)(self.SIZE_POOL * self.ELITISM) + self.CHRO_IS_F = chromosomes.CHRO_IS_F + self.CHRO_MAXVALUE = chromosomes.MAXVALUE + self.CHRO_MINVALUE = chromosomes.MINVALUE + self.CAN_REPETEAD_CHRO = can_repeated_chro + self.TEST_POOL = testing + except: + raise \ No newline at end of file From df16aeabe7f2d43291651f80966ce9a211e6b079 Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 2 Jan 2017 14:44:12 +0100 Subject: [PATCH 42/47] Solutions for erros in simpleNOGUIExample --- examples/simple_NONGUI_example/main.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/examples/simple_NONGUI_example/main.py b/examples/simple_NONGUI_example/main.py index 9ce2843..59dbeab 100644 --- a/examples/simple_NONGUI_example/main.py +++ b/examples/simple_NONGUI_example/main.py @@ -1,4 +1,6 @@ from GeneticAlgorithm.Genetic_Algorithm import * +from GeneticAlgorithm.Genetic_Algorithm_attr import * +from GeneticAlgorithm.Chromosome import * """ @@ -47,14 +49,14 @@ def fitness(item): """ chrom = chromosome_t(10, maxvalue=10, minvalue=0, - chromosomes_is_float=True) + chromosomes_is_float=False) """ Configure the attr of the algorithm, child gen, selection type,pool size, elitism, mutation, etc """ -GA_attr = GeneticAlgorithm_Attr_t(fitness, chromosomes=chrom, itmax=1000, +GA_attr = GeneticAlgorithm_Attr_t(fitness, chromosomes=chrom, itmax=500, child_type=CHILD_FLIP, selection_type=FILL_NEXT_GENERATION, High_Low=False, From ee32805e3226370fd9047385618e39dee6ea4449 Mon Sep 17 00:00:00 2001 From: Juan Pedro Date: Fri, 20 Jan 2017 18:01:04 +0100 Subject: [PATCH 43/47] Update - todo --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 20fab59..bac5b51 100644 --- a/README.md +++ b/README.md @@ -45,7 +45,7 @@ $ cd GeneticAlgorithmPythonLibrary $ sudo install.sh ``` -If you can launch the script... +If you can't launch the script... ```sh $ sudo chmod 557 install.sh @@ -73,7 +73,8 @@ You can contact us in our GitHub profiles : ### Todos - - Example of use in a implementation + - ~~Example of use in a implementation (GUI) (NONGUI)~~ + - Update help information - Release a stable version - Add Code Comments - Comparison between methods From ed32930fb6a36ed9ce4905bc1d0cd112a4801790 Mon Sep 17 00:00:00 2001 From: Juan Pedro Date: Fri, 20 Jan 2017 18:24:42 +0100 Subject: [PATCH 44/47] update help --- GeneticAlgorithm/Chromosome.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/GeneticAlgorithm/Chromosome.py b/GeneticAlgorithm/Chromosome.py index d1d8d75..1f8bd68 100644 --- a/GeneticAlgorithm/Chromosome.py +++ b/GeneticAlgorithm/Chromosome.py @@ -2,8 +2,11 @@ class chromosome_t(): def __init__(self, n_chromosomes, maxvalue = None, minvalue = 0, chromosomes_is_float = False, ): """ + Chromosome class, each indiviual will have n_chromosomes chromosomes , each one on the + interval of values [minvalue,maxvalue) + :param n_chromosomes: is the number of chromosomes that an individual has - :param maxvalue: is the maximum value of a chromosome + :param maxvalue: is the next number to the maximum value of a chromosome :param minvalue: is the minimum value of a chromosome :param chromosomes_is_float: is True if the value of a chromosome can be float """ @@ -13,4 +16,4 @@ def __init__(self, n_chromosomes, maxvalue = None, minvalue = 0, chromosomes_is_ else: self.MAXVALUE = maxvalue self.MINVALUE = minvalue - self.CHRO_IS_F = chromosomes_is_float \ No newline at end of file + self.CHRO_IS_F = chromosomes_is_float From 73ab5f9cf7dc1d93bd6a3b36c634269220103806 Mon Sep 17 00:00:00 2001 From: Juan Pedro Date: Sat, 21 Jan 2017 15:41:15 +0100 Subject: [PATCH 45/47] update readme --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index bac5b51..51541fe 100644 --- a/README.md +++ b/README.md @@ -75,6 +75,7 @@ You can contact us in our GitHub profiles : - ~~Example of use in a implementation (GUI) (NONGUI)~~ - Update help information + - Mutation methods - Release a stable version - Add Code Comments - Comparison between methods From 6054c9e8ab80de4c43a421a846b91324fffa41bd Mon Sep 17 00:00:00 2001 From: ibarbech Date: Mon, 23 Jan 2017 22:36:31 +0100 Subject: [PATCH 46/47] add doc and presentation --- GeneticAlgorithm/GeneticAlgorithm_gui/gui.py | 4 ++-- GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui | 4 ++-- doc/Doc.pdf | Bin 0 -> 590122 bytes doc/Presentacion.pdf | Bin 0 -> 1184506 bytes 4 files changed, 4 insertions(+), 4 deletions(-) create mode 100644 doc/Doc.pdf create mode 100644 doc/Presentacion.pdf diff --git a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py index 85de413..4059eee 100644 --- a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py +++ b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.py @@ -209,10 +209,10 @@ def retranslateUi(self, Dialog): self.Child_mode.setItemText(0, _translate("Dialog", "CHILD FLIP", None)) self.Child_mode.setItemText(1, _translate("Dialog", "CHILD_SPLIT", None)) self.Child_mode.setItemText(2, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_DETERMINISTIC", None)) - self.Child_mode.setItemText(3, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_PROBABILISTIC", None)) + self.Child_mode.setItemText(3, _translate("Dialog", "CHILD_FLIP_TOURNAMENT_RANDOM", None)) self.Child_mode.setItemText(4, _translate("Dialog", "CHILD_MEAN", None)) self.Child_mode.setItemText(5, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_DETERMINISTIC", None)) - self.Child_mode.setItemText(6, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_PROBABILISTIC", None)) + self.Child_mode.setItemText(6, _translate("Dialog", "CHILD_SPLIT_TOURNAMENT_RANDOM", None)) self.label_9.setText(_translate("Dialog", "Selection mode", None)) self.Selection_mode.setItemText(0, _translate("Dialog", "FILL", None)) self.Selection_mode.setItemText(1, _translate("Dialog", "ROULETE", None)) diff --git a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui index 9af40df..cd60d70 100644 --- a/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui +++ b/GeneticAlgorithm/GeneticAlgorithm_gui/gui.ui @@ -202,7 +202,7 @@ - CHILD_FLIP_TOURNAMENT_PROBABILISTIC + CHILD_FLIP_TOURNAMENT_RANDOM @@ -217,7 +217,7 @@ - CHILD_SPLIT_TOURNAMENT_PROBABILISTIC + CHILD_SPLIT_TOURNAMENT_RANDOM diff --git a/doc/Doc.pdf b/doc/Doc.pdf new file mode 100644 index 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