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Evolutionary Computation

Evolutionary Computation

Inspiration: “Using the biological evolution as a source of inspiration, evolutionary computation (EC) solves optimization problems by generating, evaluating and modifying a population of possible solutions.” [1]

Genetic Algorithms (GAs) are likely the most popular algorithm belonging to EC. Particle Swarm Optimization, Ant Colony Optimization, Genetic Programming (among others) also belong to evolutionary computation, but we’ll limit the scope to GAs.

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