Family Particle Swarm Optimization with Piecewise Mutation Probability

摘要：

Family Particle Swarm Optimization (FPSO),which combines the sociological conception with particle swarm optimization (PSO),has been proposed. In this paper,to improve the convergence accuracy of FPSO,the mutation strategy was introduced into the FPSO. To study the effect of mutation probability on the performance of the algorithm,piecewise functions were used to determine the mutation probability. The experimental results showed that the FPSO with mutation could improve the performance of FPSO and the selectee1 mutation probability depended on the complexity of problem being optimized. For high dimensional problem,piecewise mutation had high evolution velocity in an early stage. In low dimensional space,piecewise decreasing mutation had obvious advantage at the convergence accuracy and evolution velocity.

关键词： Particle swarm optimization family mutation probability piecewise function

作者: An Zhen Zhou Shi Xin Ling Zhang Jun Hua

作者单位: School of Information Science and Engineering,Yunnan University,China School of Information Technolo School of Information Science and Engineering,Yunnan University,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2561-2565

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）