GENETIC ALGORITHMS FOR AUTOMATIC SEARCH TUNING

摘要

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.