An improved PSO method with application to multimodal functions of inverse problems

Siu Lau Ho; S. Y. Yang; G. Z. Ni; K. F. Wong

doi:10.1109/TMAG.2006.892108

An improved PSO method with application to multimodal functions of inverse problems

Siu Lau Ho, S. Y. Yang, G. Z. Ni, K. F. Wong

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

32 Citations (Scopus)

Abstract

Improvements that use new formulas and strategies for updating the particles' velocity and position, craziness, adaptive velocity adjustment scheme, and the use of a simple refinement searching scheme and so on are proposed on particle swarm optimization (PSO) methods to enhance their performances. Numerical results are given to validate the feasibility and to demonstrate the merits of the proposed method.

Original language	English
Pages (from-to)	1597-1600
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	43
Issue number	4
DOIs	https://doi.org/10.1109/TMAG.2006.892108
Publication status	Published - 1 Apr 2007

Keywords

Design optimization
Evolutionary algorithm
Global optimal method
Particle swarm optimization (PSO) method

ASJC Scopus subject areas

Electrical and Electronic Engineering
Physics and Astronomy (miscellaneous)

More information

10.1109/TMAG.2006.892108

http://hdl.handle.net/10397/853

Cite this

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An improved PSO method with application to multimodal functions of inverse problems

Abstract

Keywords

ASJC Scopus subject areas

More information

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