Adaptive gbenetic algorithm's implement on evaluation function in computer Chinese chess

Abstract

Adaptive genetic algorithm (AGA) is used to solve the problem of computer Chinese Chess . The system is divided into four parts: searching engine, move generator, evaluation function, opening book. Then AGA is brought into evaluation function and the parameters' combination of evaluation function is automatically adjusted and optimized by using tournament algorithm. An independent self-study system is designed based on the above methods. The experiment results show the AGA increases the power of our program.