Genetic algorithms for automatic search tuning

Omid David-Tabibi; Moshe Koppel; Nathan S. Netanyahu

doi:10.3233/icg-2010-33202

Genetic algorithms for automatic search tuning

Omid David-Tabibi
, Moshe Koppel
, Nathan S. Netanyahu

Department of Computer Science and Artificial Intelligence

University of Maryland, College Park

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this paper we introduce a novel method for automatically tuning the search parameters of a chess program using genetic algorithms (GA). Our results show that a large set of parameter values can be learned automatically, such that the resulting performance is comparable with that of manually tuned parameters of top tournament-playing chess programs.

Original language	English
Pages (from-to)	67-79
Number of pages	13
Journal	ICGA Journal
Volume	33
Issue number	2
DOIs	https://doi.org/10.3233/icg-2010-33202
State	Published - Jun 2010

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title = "Genetic algorithms for automatic search tuning",

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Genetic algorithms for automatic search tuning

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