This post was originally published at Genetic Algorithms: Search and Optimization by Natural Selection

Many problems have optimal algorithms developed for them, while many others require us to randomly guess until we get a good answer. Even an optimal solution becomes slow and complex at a certain scale, at which point we can turn to natural processes to see how they reach acceptable results.

In this article, Toptal Freelance Software Engineer Eugene Ossipov walks us through the basics of creating a Genetic Algorithm and gives us the knowledge to delve deeper into solving any problems using this approach.

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This post was originally published at Genetic Algorithms: Search and Optimization by Natural Selection