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dc.contributor.authorKaddani, Sami*
dc.contributor.authorVanderpooten, Daniel*
dc.contributor.authorVanpeperstraete, Jean-Michel*
dc.contributor.authorAissi, Hassene*
dc.date.accessioned2017-03-23T08:50:07Z
dc.date.available2017-03-23T08:50:07Z
dc.date.issued2017
dc.identifier.issn0377-2217
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16430
dc.language.isoenen
dc.subjectMultiple objective programmingen
dc.subjectWeighted sumen
dc.subjectPartial preference informationen
dc.subject.ddc003en
dc.titleWeighted sum model with partial preference information: application to Multi-Objective Optimizationen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenMulti-objective optimization problems often lead to large nondominated sets, as the size of the problem or the number of objectives increases. Generating the whole nondominated set requires significant computation time, while most of the corresponding solutions are irrelevant to the decision maker (DM). Optimizing an aggregation function reduces the computation time and produces one or a very limited number of more focused solutions. This requires, however, the elicitation of precise preference parameters, which is often difficult and partly arbitrary, and might discard solutions of interest. An intermediate approach consists in using partial preference information with an aggregation function. In this work, we present a preference relation based on the weighted sum aggregation, where weights are not precisely defined. We give some properties of this preference relation and define the set of preferred points as the set of nondominated points with respect to this relation. We provide an efficient and generic way of generating this preferred set using any standard multi-objective optimization algorithm. This approach shows competitive performances both on computation time and quality of the generated preferred set.en
dc.relation.isversionofjnlnameEuropean Journal of Operational Research
dc.relation.isversionofjnlvol260en
dc.relation.isversionofjnlissue2en
dc.relation.isversionofjnldate2017-07
dc.relation.isversionofjnlpages665-679en
dc.relation.isversionofdoi10.1016/j.ejor.2017.01.003en
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewedouien
dc.relation.Isversionofjnlpeerreviewedouien
dc.date.updated2017-03-22T14:24:08Z
hal.person.labIds251714$$$989*
hal.person.labIds989*
hal.person.labIds251714*
hal.person.labIds989*
hal.identifierhal-01494263*


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