Genetic algorithms for automatic search tuning

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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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 languageEnglish
Pages (from-to)67-79
Number of pages13
JournalICGA Journal
Issue number2
StatePublished - Jun 2010


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