Stochastic Disturbance Particle Swarm Optimization Algorithm Based On Attractive Operator

摘要：

This paper introduced a stochastic disturbance and an attractive operator into the standard particle swarm optimization (SPSO) algorithm to improve its performance in a predefined number of generations. It termed as stochastic disturbance particle swarm optimization based on attractive operator (SDPSO). In this paper, the concept of attractive operator is recommended that every particle has its own flight direction during the process of optimization, thus it increase the possibility of finding out a potential optimum, moreover, a stochastic disturbance is presented that aim to prevent the particles trapping into local optimum. The experiment results show that the SDPSO algorithm provides better solutions than the SPSO algorithm.

关键词： Particle swarm optimization Attractive operator Stochastic disturbance.

作者: Xianjun Shen Caixia Chen Jincai Yang Zhifeng Chi

作者单位: Department of Computer Science Central China Normal University Wuhan China

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 15-18

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）