Major structural changes
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@ -9,7 +9,5 @@ def check_values(low,high):
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assert high > low , "High value can not be smaller then low value"
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assert high != 0, "High value can not be zero"
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def random_gene(low,high):
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# Check the values so that they follow the rules.
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check_values(low,high)
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def random_gene():
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return random.randint(1,100)
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@ -1,3 +0,0 @@
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class initialization:
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def initialize(self,chromosome_length,population_size,gene_function):
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return [] # return an array of chromosomes for generation 0
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@ -1,8 +1,8 @@
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class population:
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# population = [chromosome,chromosome,etc]
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def __init__(self):
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self.chromosomes = []
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self.fitness = None
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self.chromosomes = []
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def add_chromosome(self,chromosome):
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self.chromosomes.append(chromosome)
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@ -1,20 +1,23 @@
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from initialization.population import population
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from initialization.chromosome import chromosome
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from initialization.gene import gene
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# Import the data structure
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from .population_structure.population import population as create_population
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from .chromosome_structure.chromosome import chromosome as create_chromosome
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from .gene_structure.gene import gene as create_gene
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from initialization.initialization import initialization
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from .initialization import initialization
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class random_initialization(initialization):
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class random_initialization:
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def initialize(self,chromosome_length,population_size,gene_function):
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# I dont understand why python needs this in its scope but it does.
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global population
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global chromosome
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global gene
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# Create the population object
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population = population.population()
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population = create_population()
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# Fill the population with chromosomes
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for i in range(population_size):
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chromosome = chromosome.chromosome()
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chromosome = create_chromosome()
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#Fill the Chromosome with genes
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for j in range(chromosome_length):
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gene = gene.gene(gene_function)
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chromosome.add_gene(gene)
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chromosome.add_gene(create_gene(gene_function()))
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population.add_chromosome(chromosome)
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return population
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