Added Jared's comments to Roulette selection
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@ -42,16 +42,20 @@ class Parent_Selection:
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those numbers are directly proportional to the chromosome's current fitness. Where
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the ball falls is a randomly generated number between 0 and 1"""
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total_fitness = sum(ga.population.chromosome_list[i].get_fitness() for i in range(ga.population.size()))
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# The sum of all the fitnessess in a population
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total_fitness = sum(ga.population.chromosome_list[i].get_fitness() for i in range(len(ga.population.chromosome_list)))
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rel_fitnesses = []
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# A list of each chromosome's relative chance of getting chosen
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for chromosome in ga.population.chromosome_list:
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if (total_fitness != 0):
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rel_fitnesses.append(float(chromosome.fitness)/total_fitness)
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# A list of ranges that represent the probability of a chromosome getting chosen
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probability = [sum(rel_fitnesses[:i+1]) for i in range(len(rel_fitnesses))]
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while (len(ga.population.mating_pool) < ga.population.size()*ga.parent_ratio):
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# Loops until it reaches a desired mating pool size
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while (len(ga.population.mating_pool) < len(ga.population.get_all_chromosomes())*ga.parent_ratio):
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rand_number = random.random()
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# Loop through the list of probabilities
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@ -59,5 +63,4 @@ class Parent_Selection:
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# If the probability is greater than the random_number, then select that chromosome
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if (probability[i] >= rand_number):
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ga.population.mating_pool.append(ga.population.chromosome_list[i])
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# print (f'Selected chromosome : {i}')
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break
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