A New Particle Swarm Optimization Algorithm with Modified Velocity Equation

摘要：

A new particle swarm optimization algorithm with modified velocity equation is proposed. In this paper, the velocity equation of particle swarm optimization is modified to enhance global search ability of basic particle swarm optimization. Numerical experiments on ten classical test functions show that the new algorithm has better performance than the basic particle swarm optimization algorithm in computational time, global optimization and computational accuracy.

关键词： particle swarm optimization modified velocity equation numerical experiments

作者: Weimin Ma Miaomiao Wang

作者单位: School of Economics and Management, Tongji University, Shanghai, China

会议类型: 国际会议

会议名称: The 5th International Conference on Cooperation and Promotion of Information Resources in Science and Technology(第五届科技信息资源共享促进国际会议COINFO10)

会议地点: 北京

会议语种:英文

页码: 43-48

在线出版日期: 2010-11-27（万方平台首次上网日期，不代表论文的发表时间）