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arXiv · 1009.0550

Optimizing Selective Search in Chess

Omid David-Tabibi·Moshe Koppel·Nathan S. Netanyahu
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Abstract

In this paper we introduce a novel method for automatically tuning the search parameters of a chess program using genetic algorithms. 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.

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Omid David-Tabibi, Moshe Koppel, Nathan S. Netanyahu. 2010-09-02. Optimizing Selective Search in Chess. https://arxiv.org/abs/1009.0550

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