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Doubled mutation rate. To solve default fitness function.

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This commit is contained in:
danielwilczak101
2020-11-12 18:37:43 -05:00
parent aa677a1d81
commit 6e34020298
2 changed files with 6 additions and 4 deletions
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4
src/attributes.py
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@ -62,10 +62,10 @@ class Attributes:
current_fitness = 0, current_fitness = 0,
generation_goal = 15, generation_goal = 15,
fitness_goal = None, fitness_goal = None,
tolerance_goal = 1e-2, tolerance_goal = None,
percent_converged = 0.50, percent_converged = 0.50,
chromosome_mutation_rate = 0.15, chromosome_mutation_rate = 0.15,
gene_mutation_rate = 0.05, gene_mutation_rate = 0.10,
initialization_impl = Initialization_Methods.random_initialization, initialization_impl = Initialization_Methods.random_initialization,
fitness_function_impl = Fitness_Examples.is_it_5, fitness_function_impl = Fitness_Examples.is_it_5,
make_population = create_population, make_population = create_population,

6
src/run_testing.py
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@ -7,8 +7,10 @@ ga = EasyGA.GA()
# Create 25 chromosomes each with 10 genes and 200 generations # Create 25 chromosomes each with 10 genes and 200 generations
ga.population_size = 100 ga.population_size = 100
ga.chromosome_length = 10 ga.chromosome_length = 10
ga.generation_goal = 150 ga.generation_goal = 1000
ga.evolve() ga.evolve()
ga.graph.generation_total_fitness() ga.print_population()
ga.graph.highest_value_chromosome()