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@ -84,14 +84,14 @@ class GA:
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# First get the fitness of the population
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self.get_population_fitness(self.population.chromosomes)
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# Selection - Triggers flags in the chromosome if its been selected
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#self.selection_impl(self)
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# self.selection_impl(self)
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# Crossover - Takes the flagged chromosomes and crosses there genetic
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# makup to make new offsprings.
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#self.crossover_impl(self)
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# self.crossover_impl(self)
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# Repopulate - Manipulates the population to some desired way
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#self.repopulate_impl(self)
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# self.repopulate_impl(self)
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# Mutation - Manipulates the population very slightly
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#self.mutation_impl(self)
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# self.mutation_impl(self)
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# Counter for the local number of generations in evolve_generation
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number_of_generations -= 1
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