Tuning Chess Evaluation Function Parameters Using Differential Evolution Algorithm (Report)
Informatica 2011, June, 35, 2
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- 2,99 €
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- 2,99 €
Description de l’éditeur
Thesis Summary This article is an extended abstract of a doctoral dissertation on chess evaluation function tuning with differential evolution (DE) algorithm. DE is adopted for efficient chess evaluation function tuning, extended with an opposition-based optimization and a new history mechanism. Experimental results show that the algorithm is efficient and can be applied to the chess evaluation function tuning that has more or less knowledge.
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