Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization

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Title Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization
Author Ireland, David John; Lewis, Andrew; Mostaghim, Sanaz; Lu, Junwei
Publication Title e-Science 2006, Second IEEE International Conference on e-Science and Grid Computing
Editor P.M.A. Sloot, G.D. van Albada, M. Bubak, A. Trefethen
Year Published 2006
Place of publication Los Alamitios, USA
Publisher IEEE Computer Society
Abstract This paper presents quantitative comparison of the performance of different methods for selecting the guide particle for multi-objective particle swarm optimization (MOPSO). Two principal methods are compared: the recently described Sigma method, and a new “Centroid” method. Drawing on the different dominant behaviors exhibited by the different selection methods, a variety of hybridizations of these is proposed to develop a more robust optimization algorithm. Statistical analysis of the hybrid methods demonstrates their contribution to improved performance of the optimization algorithm.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.ieee.org/portal/site
Alternative URI http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4030973&isYear=2006
Copyright Statement Copyright 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.
ISBN 0-7695-2734-5
Conference name 2nd IEEE International Conference on e-Science and Grid Computing
Location Amsterdam, The Netherlands
Date From 2006-12-04
Date To 2006-12-06
URI http://hdl.handle.net/10072/13119
Date Accessioned 2007-02-12
Date Available 2008-08-07T04:48:31Z
Language en_AU
Research Centre Centre for Wireless Monitoring and Applications; Queensland Micro and Nanotechnology Centre
Faculty Faculty of Engineering and Information Technology
Subject Optimisation
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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