Study on Particle Swarm Optimization Algorithm with Local Interpolation Search

被引：1
|
作者：
Zhang, Wei-Bo [1 ]
Chen, Jin-You [1 ]
Ye, Ya-Qiang [1 ]
机构：
[1] Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou, Peoples R China
来源：
2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 1 | 2010年
关键词：
Particle Swarm Optimization; Local interpolation search; PSO; PSOlis;
D O I：
10.1109/CAR.2010.5456827
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on the analysis of the basic Particle Swarm Optimization (PSO), a PSO with local interpolation search (PSOlis) is proposed with interpolation methods. The improved PSO takes full advantage of the best location of individual particles and the better position among particles to modify the best location of the individual particles. The experiments with test functions show that PSOlis has better convergence accuracy and faster convergence speed than the basic PSO.
引用
收藏
页码：345 / 348
页数：4
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