Change domain feature
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@ -1,3 +1,4 @@
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import random
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# Import all the data prebuilt modules
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from initialization.population_structure.population import population as create_population
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from initialization.chromosome_structure.chromosome import chromosome as create_chromosome
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@ -12,14 +13,15 @@ from initialization.random_initialization import random_initialization
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class GA:
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def __init__(self):
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# Default variables
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self.domain = range(1, 100)
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self.domain = None
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self.new_range = None
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self.population = None
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self.generations = 3
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self.chromosome_length = 4
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self.chromosome_length = 3
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self.population_size = 5
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self.mutation_rate = 0.03
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# Defualt EastGA implimentation structure
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self.gene_function_impl = random_gene
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# Set the GA Configuration
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self.initialization_impl = random_initialization
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#self.mutation_impl = PerGeneMutation(Mutation_rate)
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@ -29,14 +31,11 @@ class GA:
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#self.evaluation_impl = TestEvaluation()
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def initialize(self):
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if isinstance(self.domain, range):
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self.domain = [x/float(100) for x in range(int(min(self.domain)*100), int(max(self.domain)*100))]
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# Create the first population
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self.population = self.initialization_impl(
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self.population_size,
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self.chromosome_length,
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self.gene_function_impl,
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self.domain)
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self.domain,
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self.new_range)
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def evolve():
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# If you just want to evolve through all generations
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