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dc.contributor.authorWierzbicki, Andrzej P.
dc.contributor.authorTalbi, El-Ghazali
dc.contributor.authorLiefooghe, Arnaud
dc.contributor.authorFigueira, José
dc.date.accessioned2011-04-13T14:17:49Z
dc.date.available2011-04-13T14:17:49Z
dc.date.issued2010
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/5970
dc.language.isoenen
dc.subjectultiple objective programmingen
dc.subjectParallel computingen
dc.subjectMultiple reference point approachen
dc.subjectEvolutionary computationsen
dc.subjectBi-objective flow-shop schedulingen
dc.subject.ddc003en
dc.titleA parallel multiple reference point approach for multi-objective optimizationen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenThis paper presents a multiple reference point approach for multi-objective optimization problems of discrete and combinatorial nature. When approximating the Pareto Frontier, multiple reference points can be used instead of traditional techniques. These multiple reference points can easily be implemented in a parallel algorithmic framework. The reference points can be uniformly distributed within a region that covers the Pareto Frontier. An evolutionary algorithm is based on an achievement scalarizing function that does not impose any restrictions with respect to the location of the reference points in the objective space. Computational experiments are performed on a bi-objective flow-shop scheduling problem. Results, quality measures as well as a statistical analysis are reported in the paper.en
dc.relation.isversionofjnlnameEuropean Journal of Operational Research
dc.relation.isversionofjnlvol205en
dc.relation.isversionofjnlissue2en
dc.relation.isversionofjnldate2010
dc.relation.isversionofjnlpages390-400en
dc.relation.isversionofdoihttp://dx.doi.org/10.1016/j.ejor.2009.12.027en
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00522619/en/en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherElsevieren
dc.subject.ddclabelRecherche opérationnelleen


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