def start_evolution(self):
gen = 0
while gen != self.generations_count:
'''Tworze kolejna generacje, dodaje ja do listy'''
if gen == 0:
generation = Gen(self.pop_size, self.gene_count)
'''Pierwsza generacje losuje'''
if GeneticAlgorithm.first_generation is None:
generation.generate_generation()
GeneticAlgorithm.first_generation = copy.deepcopy(
generation)
else:
generation = copy.deepcopy(
GeneticAlgorithm.first_generation)
'''Tworze kolejna generacje, dodaje ja do listy'''
self.generations.append(generation)
'''Ewaluuje w niej wszystkich osobnikow'''
self.generations[gen].evaluate_all_individuals(
self.flow_matrix, self.distance_matrix)
else:
'''Przepisuje populacje "wyzej" i na niej dzialam, potem zmieniam ja na jej dzieci'''
generation = self.generations[gen - 1]
self.generations.append(generation)
self.generations[gen].evaluate_all_individuals(
self.flow_matrix, self.distance_matrix)
'''Podmieniam te generacje na tylko wybranych prawdopodobnych do zostania rodzicem'''
self.generations[gen].population = self.select_function(
self.generations[gen].population, self.tour)
'''Podmieniam generacje na jej dzieci'''
self.generations[gen].evaluate_all_individuals(
self.flow_matrix, self.distance_matrix)
self.generations[gen].population.sort(key=attrgetter('value'))
self.generations[gen].population = self.generations[
gen].make_children(self.p_x, self.combine_point_count)
'''Mutuje'''
self.generations[gen].mutate_population(self.p_m)
'''Ewaluuje w niej wszystkich osobnikow'''
self.generations[gen].evaluate_all_individuals(
self.flow_matrix, self.distance_matrix)
'''Biore sobie najlepszego z generacji'''
best_alpha_of_gen = self.generations[gen].choose_alpha_individual()
worst_of_gen = self.generations[gen].choose_looser_individual()
self.best_of_generations.append(best_alpha_of_gen)
self.worst_of_generations.append(worst_of_gen)
self.average_of_generations.append(
self.generations[gen].get_average_of_population())
'''
print(gen)
print(len(self.generations[gen].population))
'''
gen += 1
pass
