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An Evolutionary Algorithm based on an outranking relation for sorting problems

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorOliveira, Eunice
dc.contributor.authorAntunes, Carlos Henggeler
dc.date.accessioned2025-12-02T18:07:51Z
dc.date.available2025-12-02T18:07:51Z
dc.date.issued2010-10
dc.descriptionEISBN - 978-1-4244-6588-0
dc.descriptionConference date - 10 October 2010 - 13 October 2010; Conference code - 83423
dc.description.abstractA new approach for using the preferences elicited from a Decision Maker (DM) into the operational framework of an Evolutionary Algorithm (EA) is presented. The preference representation is achieved using the parameters and principles of the ELECTRE TRI method devoted to the sorting problem. The outranking relation is used to replace the non-dominance relation in the usual operators in the EA (crossover, mutation and selection operator). The aim of this approach is to focus the search on the region of interest defined by the DM's preferences and consequently restrict the number of solutions in the Pareto-optimal front to be subject to further screening. This aspect is particularly important when dealing with problems that lead to a large number of non-dominated solutions.eng
dc.description.sponsorshipThis work has been partially supported by the Portuguese Foundation for Science and Technology under project grant PTDC/ENR/64971/2006.
dc.identifier.citationE. Oliveira and C. H. Antunes, "An Evolutionary Algorithm based on an outranking relation for sorting problems," 2010 IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey, 2010, pp. 2732-2739, doi: https://doi.org/10.1109/ICSMC.2010.5641799.
dc.identifier.doi10.1109/icsmc.2010.5641799
dc.identifier.isbn978-1-4244-6586-6
dc.identifier.isbn978-1-4244-6588-0
dc.identifier.issn1062-922X
dc.identifier.urihttp://hdl.handle.net/10400.8/14810
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/5641799
dc.relation.ispartof2010 IEEE International Conference on Systems, Man and Cybernetics
dc.rights.uriN/A
dc.subjectEvolutionary Algorithms
dc.subjectoutranking relations
dc.subjectELECTRE TRI
dc.subjecthandling preferences
dc.subjectadaptive algorithms
dc.titleAn Evolutionary Algorithm based on an outranking relation for sorting problemseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/PTDC%2FENR%2F64971%2F2006/PT
oaire.citation.conferenceDate2010-10
oaire.citation.conferencePlaceIstanbul, Turkey
oaire.citation.endPage2739
oaire.citation.startPage2732
oaire.citation.titleConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
oaire.fundingStream5876-PPCDTI
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameOliveira
person.givenNameEunice
person.identifier.orcid0000-0003-0255-7999
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication5adfb8fa-6061-49f7-8d5e-9b1c16324872
relation.isAuthorOfPublication.latestForDiscovery5adfb8fa-6061-49f7-8d5e-9b1c16324872
relation.isProjectOfPublicationd22d5796-66b3-4648-a678-1ecd2ab72b06
relation.isProjectOfPublication.latestForDiscoveryd22d5796-66b3-4648-a678-1ecd2ab72b06

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A new approach for using the preferences elicited from a Decision Maker (DM) into the operational framework of an Evolutionary Algorithm (EA) is presented. The preference representation is achieved using the parameters and principles of the ELECTRE TRI method devoted to the sorting problem. The outranking relation is used to replace the non-dominance relation in the usual operators in the EA (crossover, mutation and selection operator). The aim of this approach is to focus the search on the region of interest defined by the DM's preferences and consequently restrict the number of solutions in the Pareto-optimal front to be subject to further screening. This aspect is particularly important when dealing with problems that lead to a large number of non-dominated solutions.
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