DocumentCode
2251504
Title
Study on particle swarm optimization algorithm with local interpolation search
Author
Zhang, Wei-Bo ; Chen, Jin-You ; Ye, Ya-Qiang
Author_Institution
Coll. of Mech. Eng. & Autom., Fuzhou Univ., Fuzhou, China
Volume
1
fYear
2010
fDate
6-7 March 2010
Firstpage
345
Lastpage
348
Abstract
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.
Keywords
interpolation; particle swarm optimisation; search problems; PSO with local interpolation search; PSOlis; particle swarm optimization algorithm; Asia; Automatic control; Convergence; Informatics; Interpolation; Mechanical engineering; Particle swarm optimization; Robot control; Robotics and automation; Testing; Local interpolation search; PSO; PSOlis; Particle Swarm Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location
Wuhan
ISSN
1948-3414
Print_ISBN
978-1-4244-5192-0
Electronic_ISBN
1948-3414
Type
conf
DOI
10.1109/CAR.2010.5456827
Filename
5456827
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