def time_to_procreate():
selected_index = []
for i in range(0, len(population)):
random_number = uniform(0, 1.0)
if random_number < crossover_rate:
selected_index.append(i)
for in_list_index, first_parent_index in enumerate(selected_index):
second_parent_index = 0
if in_list_index == len(selected_index) - 1:
second_parent_index = selected_index[0]
else:
second_parent_index = selected_index[in_list_index + 1]
first_parent = population[first_parent_index]
second_parent = population[second_parent_index]
random_point_genes = 2
first_parent_genes = first_parent.give_group_of_gens(
random_point_genes)
second_parent_genes = second_parent.data
second_parent_genes.pop(random_point_genes)
second_parent_genes.insert(random_point_genes, first_parent_genes)
son = Chromosome(second_parent_genes, fitness_function_procedure)
# Checamos si el hijo supera al padre en fitness
son.calculate_value()
if son.result > first_parent.result:
population.pop(first_parent_index)
population.insert(first_parent_index, son)
import main from chromosome import Chromosome main.parse_data() fitness = main.fitness_function_procedure chromosome = Chromosome(['1', '101', '10', '10'], fitness) chromosome.calculate_value()
