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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1094

Title: An improved particle swarm optimization method with application to multimodal functions of inverse problems
Authors: Ho, Siu-lau
Yang, Shiyou
Ni, Guangzheng
Wong, K. F.
Subjects: Inverse problems
Modal analysis
Numerical methods
Online searching
Issue Date: 2006
Publisher: IEEE
Citation: 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.
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.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Conference Paper
URI: http://hdl.handle.net/10397/1094
ISBN: 1424403200
Appears in Collections:EE Conference Papers & Presentations

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