Fixed rate bounds
Avoid extremely slow generations due to either - Excessive mutations. - Extreme selection probabilities, which make tournament selection struggle.
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@ -69,13 +69,13 @@ class Attributes:
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percent_converged = 0.50,
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chromosome_mutation_rate = 0.15,
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gene_mutation_rate = 0.05,
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adapt_rate = 0,
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adapt_probability_rate = 0.15,
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adapt_population_flag = False,
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max_selection_probability = 0.99,
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min_selection_probability = 0.01,
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max_chromosome_mutation_rate = 0.20,
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min_chromosome_mutation_rate = 0.01,
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adapt_rate = 0.05,
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adapt_probability_rate = 0.05,
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adapt_population_flag = True,
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max_selection_probability = 0.75,
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min_selection_probability = 0.25,
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max_chromosome_mutation_rate = None,
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min_chromosome_mutation_rate = None,
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max_gene_mutation_rate = None,
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min_gene_mutation_rate = None,
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dist = None,
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@ -130,11 +130,11 @@ class Attributes:
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# Bounds on probabilities when adapting
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self.max_selection_probability = max_selection_probability
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self.max_chromosome_mutation_rate = max_chromosome_mutation_rate
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self.max_gene_mutation_rate = (gene_mutation_rate+1)/2 if (max_gene_mutation_rate is None) else max_gene_mutation_rate
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self.min_selection_probability = min_selection_probability
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self.min_chromosome_mutation_rate = min_chromosome_mutation_rate
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self.min_gene_mutation_rate = gene_mutation_rate/2 if (min_gene_mutation_rate is None) else min_gene_mutation_rate
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self.max_chromosome_mutation_rate = chromosome_mutation_rate if (max_chromosome_mutation_rate is None) else max_chromosome_mutation_rate
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self.min_chromosome_mutation_rate = chromosome_mutation_rate if (min_chromosome_mutation_rate is None) else min_chromosome_mutation_rate
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self.max_gene_mutation_rate = gene_mutation_rate if (max_gene_mutation_rate is None) else max_gene_mutation_rate
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self.min_gene_mutation_rate = gene_mutation_rate if (min_gene_mutation_rate is None) else min_gene_mutation_rate
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# Distance between two chromosomes
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if dist is None:
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@ -201,13 +201,24 @@ class Attributes:
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self.crossover_individual_impl = Crossover_Methods.Individual.Permutation.ox1
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self.mutation_individual_impl = Mutation_Methods.Individual.Permutation.swap_genes
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self.dist = lambda chromosome_1, chromosome_2:\
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sum(
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1
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for gene_1, gene_2
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in zip(chromosome_1, chromosome_2)
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if gene_1 == gene_2
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)
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# Count the number of gene pairs they have in common
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def dist(chromosome_1, chromosome_2):
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gene_list_1 = list(chromosome_1)
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gene_list_2 = list(chromosome_2)
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count = 0
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for i in range(len(gene_list_1)-1):
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for j in range(len(gene_list_2)-1):
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if gene_list_1[i] == gene_list_2[j]:
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if gene_list_1[i+1] == gene_list_2[j+1]:
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count += 1
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break
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return count
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self.dist = dist
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# Getter and setters for all required varibles
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