Adaptive genetic algorithm´s implement on evaluation function in computer Chinese chess

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.