A new Hybrid Genetic Algorithm Based on Chaos and PSO

摘要：

In practice, two key problems have been found in genetic algorithm (GA), one is premature convergence and the other is weak local search ability. In this paper, a new hybrid genetic algorithm based on chaos and particle swarm optimization (PSO) is proposed to solve the two problems above. The basic principle is that chaotic search mechanism and PSO mutation are added into the framework of simple genetic algorithm (SGA).By comparing the experimental results from five classic benchmark functions, the proposed genetic algorithm significantly improved both global convergence and convergence precision.

关键词： GA Chaos PSO Premature Convergence

作者: Yiwen Wang Min Yao

作者单位: College of Computer Science and Technology Zhejiang University Hangzhou,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 699-703

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）