27 lines
618 B
Python
27 lines
618 B
Python
import EasyGA
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import random
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# Create the Genetic algorithm
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ga = EasyGA.GA()
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# Create 25 chromosomes each with 10 genes and 200 generations
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ga.population_size = 100
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ga.chromosome_length = 10
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ga.generation_goal = 150
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# Create random genes from 0 to 10
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ga.gene_impl = lambda: random.randint(0, 10)
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# Minimize the sum of the genes
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ga.fitness_function_impl = lambda chromosome: sum(gene.get_value() for gene in chromosome.get_gene_list())
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ga.target_fitness_type = 'min'
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ga.evolve()
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ga.print_generation()
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ga.print_population()
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ga.graph.type_of_plot = "line"
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ga.graph.yscale = "log"
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ga.graph.lowest_value_chromosome()
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