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dc.contributor.authorLuque-Gallego, Mariano 
dc.contributor.authorMiettinen, Kaisa
dc.contributor.authorSaborido Infantes, Rubén
dc.contributor.authorRuiz-Mora, Ana Belén 
dc.date.accessioned2014-07-21T11:04:38Z
dc.date.available2014-07-21T11:04:38Z
dc.date.created2014-07-20
dc.date.issued2014-07-21
dc.identifier.urihttp://hdl.handle.net/10630/7874
dc.description.abstractWe describe an interactive evolutionary algorithm to solve multiobjective optimization problems. It is based on a preference-based evolutionary multiobjective optimization algorithm called WASF-GA. In the interactive version of WASF-GA to be introduced, at each iteration, the decision maker can provide desirable aspiration values and several nondominated objective vectors are generated based on them. They are filtered and shown to the decision maker.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAlgoritmos genéticoses_ES
dc.subject.otherMultiobjectivees_ES
dc.subject.otherEvolutionary algorithmes_ES
dc.subject.otherInteractive methodes_ES
dc.titleAn Interactive Evolutionary Multiobjective Optimization Method based on the WASF-GA Algorithmes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroFacultad de Ciencias Económicas y Empresarialeses_ES
dc.relation.eventtitle20th Conference of the International Federation of Operational Research Societieses_ES
dc.relation.eventplaceBarcelonaes_ES
dc.relation.eventdateJulio 2014es_ES


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