An Evolutionary Fuzzy Behaviour Controller using Genetic Algorithm in RoboCup Soccer Game

摘要：

The problem of an effective behavior learning of autonomous robots is one of the most important tasks of the modern robotics. In fact, it is well known that the learning to optimize actions of autonomous agents in a dynamic environment is one of the most complex challenges of the intelligent system design. In this paper, we propose a hybrid approach integrating fuzzy logic system with genetic algorithm for high-level skills learning of robots within the RoboCup simulation soccer domain. Through the experiments, we found that the proposed method has good property of computation efficiency and also has a good advantage applied to the environment of RoboCup.

关键词： Fuzzy locic control Genetic algorithm Intelligent control RoboCup

作者: Jong Yih Kuo Yuan Cheng Ou

作者单位: Department of Computer Science and Information Engineering National Taipei University of Technology Taipei, Taiwan, R.O.C.

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-6

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）