A Novel PSO with Piecewise-Varied Inertia Weight

摘要：

To choose the appropriate value of inertia weight can improve the performance of PSO by means of making a good balance between exploration and exploitation in search process.This paper presents a novel inertia weight variation method based on a piecewise function,in which there are two parts:one is nonlinear decreasing to enhance the explorative ability;the other is linear decreasing just as standard PSO algorithm.The two key parameters in the proposed PSO algorithm (PSO-PIW) are identified through two experimental simulations.The results of several benchmark functions tested demonstrate good performance of PSO-PIW in solving multimodal problems compared with some other inertia weight variation methods in PSO.

关键词： Particle swarm optimization Inertia weight Piecewise function PSO-PIW Multimodal problems

作者: Qin Quande Li Li Li Rongjun

作者单位: School of Business Administration South University of Technology Guangzhou,PR China College of Management Shenzhen Uiversity henzhen,PR China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information and Financial Engineering(2010年第二届IEEE信息与金融工程国际会议 ICIFE 2010)

会议地点: 重庆

会议语种:英文

页码: 503-506

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）