Abstract
This paper describes the author’s research into tuning the static evaluation function of a chess-playing program using a genetic algorithm. Preliminary results suggest that a genetic algorithm may be able to set weights at least as well as they can be set by hand by an able player. This technique, it is hoped, will also be applicable to tuning values used to control the search.
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