Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1094
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Title: An improved particle swarm optimization method with application to multimodal functions of inverse problems
Authors: Ho, SL 
Yang, S
Ni, G
Wong, KF
Issue Date: 2006
Source: IEEE CEFC 2006 : 12th Biennial IEEE Conference of Electromagnetic Field Computation : April 30-May 3, 2006, Miami, Florida, USA, p. 124
Abstract: Improvements that use new formulae and strategies in particle swarm optimization (PSO) methods are proposed for updating the particles' velocity and position, craziness, and the use of simple refinement searching scheme and so on to enhance their performances. Numerical results are given to validate the feasibility and demonstrate the merits of the proposed method.
Keywords: Inverse problems
Modal analysis
Numerical methods
Online searching
Publisher: IEEE
ISBN: 1424403200
Rights: © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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