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Updated GA attribute structure, separated selection file structure

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Updated GA attribute structure, separated selection file structure
This commit is contained in:
RyleyGG
2020-10-06 22:11:40 -04:00
parent 7e8c81c03d
commit 3649293133
16 changed files with 116 additions and 195 deletions
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2
src/initialization/initialization_methods.py
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@ -6,7 +6,7 @@ from .gene_structure.gene import Gene as create_gene
class Initialization_Methods:
"""Initialization examples that are used as defaults and examples"""
def random_initialization(self, ga):
def random_initialization(ga):
"""Takes the initialization inputs and choregraphs them to output the type of population with the given parameters."""
# Create the population object

33
src/initialization/methods.py
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@ -1,33 +0,0 @@
# Import the data structure
from .population_structure.population import Population as create_population
from .chromosome_structure.chromosome import Chromosome as create_chromosome
from .gene_structure.gene import Gene as create_gene
class Initialization_methods:
"""Initialization examples that are used as defaults and examples"""
def random_initialization(ga):
"""Takes the initialization inputs and choregraphs them to output the type of population
with the given parameters."""
# Create the population object
population = create_population()
# Fill the population with chromosomes
for i in range(ga.population_size):
chromosome = create_chromosome()
#Fill the Chromosome with genes
for j in range(ga.chromosome_length):
# Using the chromosome_impl to set every index inside of the chromosome
if ga.chromosome_impl != None:
# Each chromosome location is specified with its own function
chromosome.add_gene(create_gene(ga.chromosome_impl(j)))
# Will break if chromosome_length != len(lists) in domain
elif ga.gene_impl != None:
# gene_impl = [range function,lowerbound,upperbound]
function = ga.gene_impl[0]
chromosome.add_gene(create_gene(function(*ga.gene_impl[1:])))
else:
#Exit because either were not specified
print("Your domain or range were not specified")
population.add_chromosome(chromosome)
return population