Automated Solution Selection in Multi-objective Optimisation

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Title Automated Solution Selection in Multi-objective Optimisation
Author Lewis, Andrew; Ireland, David John
Publication Title IEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence).
Editor Michalewicz and Reynolds
Year Published 2008
Place of publication Online
Publisher Online
Abstract This paper proposes an approach to the solution of multi-objective optimisation problems that delivers a single, preferred solution. A conventional, population-based, multiobjective optimisation method is used to provide a set of solutions approximating the Pareto front. As the set of solutions evolves, an approximation to the Pareto front is derived using a Kriging method. This approximate surface is traversed using a single objective optimisation method, driven by a simple, aggregated objective function that expresses design preferences. The approach is demonstrated using a combination of multi-objective particle swarm optimisation (MOPSO) and the Simplex method of Nelder and Mead, applied to several, standard, multi-objective test problems. Good, compromise solutions meeting user-defined design preferences are delivered without manual intervention.
Peer Reviewed Yes
Published Yes
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Copyright Statement Copyright 2008 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 978-1-4244-1822-0
Conference name 2008 IEEE World Congress on Computational Intelligence
Location Hong Kong, China
Date From 2008-06-01
Date To 2008-06-06
Date Accessioned 2008-07-09
Language en_AU
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Optimisation
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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