Study on particle swarm optimization algorithm with local interpolation search

Authors:
Wei-Bo Zhang;Jin-You Chen;Ya-Qiang Ye
Affiliations:
College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou City, P.R.China;College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou City, P.R.China;College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou City, P.R.China
Venue:
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 1
Year:
2010

Citing 2
Cited 0

Dissipative particle swarm optimization

CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Opposition-Based Differential Evolution

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

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 ofthe individual particles. The experiments with test functions show that PSOlis has better convergence accuracy and faster convergence speed than the basic PSO.