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}
}
  • Eduardo Vázquez-Fernández, C. Coello, F. Sagols
  • Published 2011
  • Computer Science
  • 2011 IEEE Congress of Evolutionary Computation (CEC)
  • 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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