Selection methods research based on stochastic ranking for constrained optimization

摘要：

This paper describes some general constrained optimization problem-solving methods at first,and then different ideas of combining particle swarm optimization with stochastic ranking are proposed. Accordingly,three algorithms (SRI,SRel,SRhs) are constructed together with disturbance idea and their pros and cons are analyzed. Finally,some typical benchmarks are used to confirm their performance and achieve better results.

关键词： Constrained optimization PSO stochastic ranking disturbance

作者: Ling Jiang Wei Zhao Bo Li Yiwen Qin Xinchao Zhao

作者单位: School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China State Key

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 402-405

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）