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Fixed bug

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Potentially 0 mutations occur
This commit is contained in:
SimpleArt
2020-11-12 18:46:09 -05:00
parent 6e34020298
commit 7e0134e785
2 changed files with 6 additions and 5 deletions
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2
src/attributes.py
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@ -65,7 +65,7 @@ class Attributes:
tolerance_goal = None,
percent_converged = 0.50,
chromosome_mutation_rate = 0.15,
gene_mutation_rate = 0.10,
gene_mutation_rate = 0.05,
initialization_impl = Initialization_Methods.random_initialization,
fitness_function_impl = Fitness_Examples.is_it_5,
make_population = create_population,

9
src/mutation/mutation_methods.py
View File

@ -1,4 +1,5 @@
import random
from math import ceil
class Mutation_Methods:
@ -9,7 +10,7 @@ class Mutation_Methods:
"""Selects random chromosomes"""
# Loop until enough mutations occur
for n in range(int(ga.population.size()*ga.chromosome_mutation_rate)):
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)
@ -18,7 +19,7 @@ class Mutation_Methods:
"""Selects random chromosomes and self-crosses with parent"""
# Loop until enough mutations occur
for n in range(int(ga.population.size()*ga.chromosome_mutation_rate)):
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)
@ -37,7 +38,7 @@ class Mutation_Methods:
chromosome = ga.make_chromosome(old_chromosome.get_gene_list())
# Loops until enough mutations occur
for n in range(int(chromosome.size()*ga.gene_mutation_rate)):
for n in range(ceil(chromosome.size()*ga.gene_mutation_rate)):
index = random.randint(0, chromosome.size()-1)
# Using the chromosome_impl
@ -65,7 +66,7 @@ class Mutation_Methods:
chromosome = ga.make_chromosome(old_chromosome.get_gene_list())
# Loops until enough mutations occur
for n in range(int(chromosome.size()*ga.gene_mutation_rate)):
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)