Dynamic Multi-Swarm Particle Swarm Optimization for Multi-Objective Optimization Problems

被引：0
|
作者：
Liang, J. J. [1 ]
Qu, B. Y. [1 ]
Suganthan, P. N. [1 ]
Niu, B. [1 ]
机构：
[1] Zhengzhou Univ, Sch Elect Engn, Zhengzhou, Peoples R China
来源：
2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2012年
关键词：
Particle swarm optimizer; multi-objective optimization; dynamic multi-swarm optimizer;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, Dynamic Multi-Swarm Particle Swarm Optimizer (DMS-PSO) which was first designed for solving single objective optimizations problems is extended to solve Multi-objective optimization problems with constraints. Through analysis, novel pbest and lbest updating criteria which are more suitable for solving Multi-objective optimization problems are proposed. By combining the external archive and the novel updating criteria, excellent performance is achieved by DMS-MO-PSO on eight benchmark test functions.
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页数：8
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