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Opponent Selection Methods

Opponent Selection greatly influences the outcome of Genetic Algorithms. Opponents can be human, automatic, or objective related. Most commonly the objective is hard-coded into the game, from which the Algorithm must learn to satisfy. This approach leads to overfitting, always to the game, and often within the original problem domain, so we have other models available.