LoCost: a Spatial Social Network Algorithm for Multi-Objective Optimisation

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Title LoCost: a Spatial Social Network Algorithm for Multi-Objective Optimisation
Author Lewis, Andrew
Publication Title Conference Proceedings: IEEE Congress on Evolutionary Computation 2009
Editor Andy Tyrrell
Year Published 2009
Abstract Particle Swarm Optimisation (PSO) is increasingly being applied to optimisation of problems in engineering design and scientific investigation. While readily adapted to singleobjective problems, its use on multi-objective problems is hampered by the difficulty of finding effective means of guiding the swarm in the presence of multiple, competing objectives. This paper suggests a novel approach to this problem, based on an extension of the concepts of spatial social networks using a model of the behaviour of locusts and crickets. Comparison is made between neighbouring particles based on Pareto dominance, and a corresponding repulsion between particles added to previously suggested attractive forces. Computational experiments demonstrate that the new, spatial, social network optimisation algorithm can provide results comparable to a conventional MOPSO algorithm, and improved coverage of the Pareto-front.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/CEC.2009.4983302
Copyright Statement Copyright 2009 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 paper was first published in the Proceedings of IEEE Congress on Evolutionary Computation, 2009.
ISBN 978-1-4244-2959-2
Conference name (CEC 2009) IEEE Congress on Evolutionary Computation
Location Trondheim, Norway
Date From 2009-05-18
Date To 2009-05-21
URI http://hdl.handle.net/10072/29237
Date Accessioned 2009-09-21
Date Available 2010-07-28T06:58:32Z
Language en_AU
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Optimisation
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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