Tuning Chess Evaluation Function Parameters Using Differential Evolution Algorithm (Report‪)‬

Informatica 2011, June, 35, 2

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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.

GENRE
Entreprise et management
SORTIE
2011
1 juin
LANGUE
EN
Anglais
LONGUEUR
4
Pages
ÉDITIONS
Slovenian Society Informatika
TAILLE
61,6
Ko

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