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Updated gene impl

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This commit is contained in:
SimpleArt
2020-10-14 23:09:55 -04:00
parent 0090db9dce
commit 543b295e52
3 changed files with 10 additions and 13 deletions
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7
src/initialization/initialization_methods.py
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@ -12,16 +12,15 @@ class Initialization_Methods:
if ga.chromosome_impl != None:
return ga.make_population([
ga.make_chromosome([
ga.make_gene(ga.chromosome_impl(j))
for j in range(ga.chromosome_length)])
ga.make_gene(value)
for value in ga.chromosome_impl()])
for i in range(ga.population_size)])
# Using the gene_impl to set every gene to be the same
elif ga.gene_impl != None:
function = ga.gene_impl[0]
return ga.make_population([
ga.make_chromosome([
ga.make_gene(function(*ga.gene_impl[1:]))
ga.make_gene(ga.gene_impl())
for j in range(ga.chromosome_length)])
for i in range(ga.population_size)])

12
src/mutation/mutation_methods.py
View File

@ -25,14 +25,13 @@ class Mutation_Methods:
# Using the chromosome_impl to set every index inside of the chromosome
if ga.chromosome_impl != None:
return ga.make_chromosome([
ga.make_gene(ga.chromosome_impl(j))
for j in range(chromosome.size())])
ga.make_gene(value)
for value in ga.chromosome_impl()])
# Using the gene_impl
elif ga.gene_impl != None:
function = ga.gene_impl[0]
return ga.make_chromosome([
ga.make_gene(function(*ga.gene_impl[1:]))
ga.make_gene(ga.gene_impl())
for j in range(chromosome.size())])
# Exit because no gene creation method specified
@ -48,13 +47,12 @@ class Mutation_Methods:
# Using the chromosome_impl
if ga.chromosome_impl != None:
index = random.randint(0, chromosome.size()-1)
chromosome.set_gene(ga.make_gene(ga.chromosome_impl(index)), index)
chromosome.set_gene(ga.make_gene(ga.chromosome_impl()[index]), index)
# Using the gene_impl
elif ga.gene_impl != None:
function = ga.gene_impl[0]
index = random.randint(0, chromosome.size()-1)
chromosome.set_gene(ga.make_gene(function(*ga.gene_impl[1:])), index)
chromosome.set_gene(ga.make_gene(ga.gene_impl()), index)
# Exit because no gene creation method specified
else:

4
src/run_testing.py
View File

@ -3,9 +3,9 @@ import EasyGA
# Create the Genetic algorithm
ga = EasyGA.GA()
ga.population_size = 25
ga.population_size = 100
ga.generation_goal = 100
ga.gene_impl = [random.randint,0,10]
ga.gene_impl = lambda: random.randint(1, 10)
ga.selection_probability = 0.5
ga.fitness_function_impl = EasyGA.Fitness_Examples.near_5
ga.parent_selection_impl = EasyGA.Parent_Selection.Roulette.stochastic_selection