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A peek at genetic algorithms

In computer science, genetic algorithms are metaheuristics that help solve optimization problems. Those evolutionary algorithms are inspired by the Darwinian evolution process and rely on iterative generation breeding to get from a (mostly random) initial population of individuals to one that counts many individuals “well-fit” for the task at hand.
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