Update mutation_methods.py
- Using deepcopy to avoid chromosomes sharing genes. - Improved readibility.
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@ -1,20 +1,21 @@
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import random
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from copy import deepcopy
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from math import ceil
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def loop_selections(selection_method):
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"""Runs the selection method until enough chromosomes are mutated."""
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def helper(ga):
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for n in range(ceil(len(ga.population)*ga.chromosome_mutation_rate)):
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selection_method(ga)
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for _ in range(ceil(len(ga.population)*ga.chromosome_mutation_rate)):
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selection_method(ga)
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return helper
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def loop_mutations(mutation_method):
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"""Runs the mutation method until enough genes are mutated."""
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def helper(ga, old_chromosome):
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chromosome = ga.make_chromosome(old_chromosome.gene_list)
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chromosome = ga.make_chromosome(deepcopy(old_chromosome.gene_list))
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for n in range(ceil(len(chromosome)*ga.gene_mutation_rate)):
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for _ in range(ceil(len(chromosome)*ga.gene_mutation_rate)):
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mutation_method(ga, chromosome)
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return chromosome
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@ -47,7 +48,9 @@ class Mutation_Methods:
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index = random.randrange(len(ga.population))
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chromosome = ga.population[index]
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ga.population[index] = ga.crossover_individual_impl(ga, chromosome, ga.mutation_individual_impl(ga, chromosome))
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ga.population[index] = ga.crossover_individual_impl(
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ga, chromosome, ga.mutation_individual_impl(ga, chromosome)
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)
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class Individual:
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@ -56,6 +59,7 @@ class Mutation_Methods:
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@loop_mutations
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def individual_genes(ga, chromosome):
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"""Mutates a random gene in the chromosome."""
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index = random.randrange(len(chromosome))
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# Using the chromosome_impl
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@ -79,7 +83,9 @@ class Mutation_Methods:
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def swap_genes(ga, chromosome):
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"""Swaps two random genes in the chromosome."""
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# Indexes of genes to swap
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index_one = random.randrange(len(chromosome))
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index_two = random.randrange(len(chromosome))
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# Swap genes
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chromosome[index_one], chromosome[index_two] = chromosome[index_two], chromosome[index_one]
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