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Towards an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches
Dept. of Mathematical Information Technology, University of Jyväskylä.
Indian Institute of Technology Kanpur. (Kanpur Genetic Algorithms Laboratory)
General Electric India Technology Center, Bangalore, India.
2010 (English)In: IEEE Transactions on Evolutionary Computation, ISSN 1089-778X, E-ISSN 1941-0026, Vol. 14, no 6, 821-841 p.Article in journal (Refereed) Published
Abstract [en]

Nadir objective vector is constructed with the worst Pareto-optimal objective values in a multi-objective optimization problem and is an important entity to compute because of its importance in estimating the range of objective values in the Pareto-optimal front and also in using many interactive multi- objective optimization techniques. It is needed, for example, for normalizing purposes. The task of estimating the nadir objec- tive vector necessitates information about the complete Pareto- optimal front and is reported to be a difficult task using other approaches. In this paper, we propose certain modifications to an existing evolutionary multi-objective optimization procedure to focus its search towards the extreme objective values and combine it with a reference-point based local search approach to constitute a couple of hybrid procedures for a reliable estimation of the nadir objective vector. With up to 20-objective optimization test problems and on a three-objective engineering design optimization problem, the proposed procedures are found to be capable of finding a near nadir objective vector reliabl y. The study clearly shows the significance of an evolutionary comp uting based search procedure in assisting to solve an age-old important task of nadir objective vector estimation.

Place, publisher, year, edition, pages
IEEE , 2010. Vol. 14, no 6, 821-841 p.
Keyword [en]
Decision making, Estimation, Minimization, Optimization, Pareto optimization, Search problems
National Category
URN: urn:nbn:se:kth:diva-74010DOI: 10.1109/TEVC.2010.2041667ISI: 000285059500001ScopusID: 2-s2.0-78649814618OAI: diva2:489244
© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20120210Available from: 2012-02-10 Created: 2012-02-02 Last updated: 2012-02-10Bibliographically approved

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