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Added iterable features

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SimpleArt
2020-11-19 11:46:47 -05:00
parent 6e95ff5d9d
commit 0ee545429c
7 changed files with 167 additions and 97 deletions
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35
src/mutation/mutation_methods.py
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@ -10,24 +10,21 @@ class Mutation_Methods:
"""Selects random chromosomes"""
# Loop until enough mutations occur
for n in range(ceil(ga.population.size()*ga.chromosome_mutation_rate)):
index = random.randint(0, ga.population.size()-1)
ga.population.set_chromosome(ga.mutation_individual_impl(ga, ga.population.get_chromosome(index)), index)
for n in range(ceil(len(ga.population)*ga.chromosome_mutation_rate)):
index = random.randint(0, len(ga.population)-1)
ga.population[index] = ga.mutation_individual_impl(ga, ga.population[index])
def random_selection_then_cross(ga):
"""Selects random chromosomes and self-crosses with parent"""
# Loop until enough mutations occur
for n in range(ceil(ga.population.size()*ga.chromosome_mutation_rate)):
index = random.randint(0, ga.population.size()-1)
chromosome = ga.population.get_chromosome(index)
for n in range(ceil(len(ga.population)*ga.chromosome_mutation_rate)):
index = random.randint(0, len(ga.population)-1)
chromosome = ga.population[index]
# Cross the chromosome with its mutation
ga.population.set_chromosome(
ga.crossover_individual_impl(ga, chromosome, ga.mutation_individual_impl(ga, chromosome)),
index
)
ga.population[index] = ga.crossover_individual_impl(ga, chromosome, ga.mutation_individual_impl(ga, chromosome))
class Individual:
@ -39,16 +36,16 @@ class Mutation_Methods:
chromosome = ga.make_chromosome(old_chromosome.get_gene_list())
# Loops until enough mutations occur
for n in range(ceil(chromosome.size()*ga.gene_mutation_rate)):
index = random.randint(0, chromosome.size()-1)
for n in range(ceil(len(chromosome)*ga.gene_mutation_rate)):
index = random.randint(0, len(chromosome)-1)
# Using the chromosome_impl
if ga.chromosome_impl is not None:
chromosome.set_gene(ga.make_gene(ga.chromosome_impl()[index]), index)
chromosome[index] = ga.make_gene(ga.chromosome_impl()[index])
# Using the gene_impl
elif ga.gene_impl is not None:
chromosome.set_gene(ga.make_gene(ga.gene_impl()), index)
chromosome[index] = ga.make_gene(ga.gene_impl())
# Exit because no gene creation method specified
else:
@ -67,14 +64,14 @@ class Mutation_Methods:
chromosome = ga.make_chromosome(old_chromosome.get_gene_list())
# Loops until enough mutations occur
for n in range(ceil(chromosome.size()*ga.gene_mutation_rate)):
index_one = random.randint(0, chromosome.size()-1)
index_two = random.randint(0, chromosome.size()-1)
for n in range(ceil(len(chromosome)*ga.gene_mutation_rate)):
index_one = random.randint(0, len(chromosome)-1)
index_two = random.randint(0, len(chromosome)-1)
gene_one = chromosome.get_gene(index_one)
gene_two = chromosome.get_gene(index_two)
chromosome.set_gene(gene_one, index_two)
chromosome.set_gene(gene_two, index_one)
chromosome[index_two] = gene_one
chromosome[index_one] = gene_two
return chromosome