An evolutionary algorithm for tuning a chess evaluation function
@article{VzquezFernndez2011AnEA,
title={An evolutionary algorithm for tuning a chess evaluation function},
author={Eduardo V{\'a}zquez-Fern{\'a}ndez and C. Coello and F. Sagols},
journal={2011 IEEE Congress of Evolutionary Computation (CEC)},
year={2011},
pages={842-848}
}This paper proposes a method for tuning the weights of the evaluation function of a chess program whose search engine is based on evolutionary programming. In our proposed approach, each individual in the population of the evolutionary algorithm represents a virtual player with specific weights of its evaluation function. This differs from most of the previous approaches reported in the literature, in which normally a tournament between virtual players is held, and the final result (win, loss… CONTINUE READING
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