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

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

Informatica 2011, June, 35, 2

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Publisher Description

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
Business & Personal Finance
RELEASED
2011
June 1
LANGUAGE
EN
English
LENGTH
4
Pages
PUBLISHER
Slovenian Society Informatika
SELLER
The Gale Group, Inc., a Delaware corporation and an affiliate of Cengage Learning, Inc.
SIZE
61.6
KB

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