%0 Journal Article
%T Optimizing Selective Search in Chess
%A Omid David-Tabibi
%A Moshe Koppel
%A Nathan S. Netanyahu
%J Computer Science
%D 2010
%I arXiv
%X 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.
%U http://arxiv.org/abs/1009.0550v1