Please use this identifier to cite or link to this item:
Title: A particle swarm optimization-based method for multiobjective design optimizations
Authors: Ho, SL 
Yang, S
Ni, G
Lo, E 
Wong, HCC
Keywords: Inverse problem
Multiobjective optimal algorithm
Optimal design
Particle swarm optimization (PSO)
Issue Date: May-2005
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on magnetics, May 2005, v. 41, no. 5, p. 1756-1759 How to cite?
Journal: IEEE transactions on magnetics 
Abstract: A particle swarm optimization (PSO) based algorithm for finding the Pareto solutions of multiobjective design problems is proposed. To enhance the global searching ability of the available PSOs, a novel formula for updating the particles' velocity and position, as well as the introduction of craziness, are reported. To handle a multiobjective design problem using the improved PSO, a new fitness assignment mechanism is proposed. Moreover, two repositories, together with the age variables for their members, are introduced for storing and selecting the previous best positions of the particle as well as that of its companions. Besides, the use of age variables to enhance the diversity of the solutions is also described. The proposed method is tested on two numerical examples with promising results.
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2005.846033
Rights: © 2005 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.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
optimization-based_05.pdf127.92 kBAdobe PDFView/Open
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Contents


Last Week
Last month
Citations as of Aug 13, 2018


Last Week
Last month
Citations as of Aug 14, 2018

Page view(s)

Last Week
Last month
Citations as of Aug 14, 2018


Citations as of Aug 14, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.