Intercepting Ball Strategy of Improved Genetic Algorithm and RBF Network
Xiang Qian Fan · Control Engineering of China · 2009
In the RoboCup2D simulation soccer game,the design of the player bottom action is very important and it directly impacts on winning or losing the game,especially some fundamental action,such as intercepting ball,passing ball,shooting ball.In view of the fact,based on the improved genetic algorithm and RBF neural network in intercepting ball,a new method of intercepting ball is proposed.Namely,the improved genetic algorithm is to optimize the structure parameter of RBF neural network.It enhances the network generalization capability and improves global search efficiency of network.The experiment shows that the success rates of intercepting ball with RBF neural network optimized by improved genetic algorithm is much more than the success rates of intercepting ball with RBF neural network.