Dynamic Parameter Selection Based on Trigonometric Function in Particle Swarm Optimization

摘要：

This paper presents an improved PSO algorithm (TPSO) with dynamic parameter selection, in which the inertia weight and acceleration coefficients are defined by trigonometric functions of the present iterative generation. Compared with some typical PSO models, TPSO shows its superiority in convergence, robustness and solution quality through experimental tests with 8 widely used benchmark functions.

关键词： particle swarm optimization trigonometric function dynamic parameter selection inertia weight acceleration coefficients

作者: Wenxue Zhang Tieke Li Cantao Shi

作者单位: School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, C Engineering Research Center of MES Technology for Iron & Steel Production, Ministry of Education, Ch

会议类型: 国际会议

会议名称: The Third International Joint Conference on Computational Science and Optimization(第三届计算科学与优化国际大会 CSO 2010)

会议地点: 黄山

会议语种:英文

页码: 283-286

在线出版日期: 2010-05-28（万方平台首次上网日期，不代表论文的发表时间）