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Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms

2017Book part Open access
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datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorLi, Longmei
dc.contributor.authorYevseyeva, Iryna
dc.contributor.authorBasto-Fernandes, Vitor
dc.contributor.authorTrautmann, Heike
dc.contributor.authorJing, Ning
dc.contributor.authorEmmerich, Michael
dc.date.accessioned2026-01-16T10:53:17Z
dc.date.available2026-01-16T10:53:17Z
dc.date.issued2017
dc.description.abstractIntegrating user preferences in Evolutionary Multiobjective Optimization (EMO) is currently a prevalent research topic. There is a large variety of preference handling methods (originated from Multicriteria decision making, MCDM) and EMO methods, which have been combined in various ways. This paper proposes a Web Ontology Language (OWL) ontology to model and systematize the knowledge of preferencebased multiobjective evolutionary algorithms (PMOEAs). Detailed procedure is given on how to build and use the ontology with the help of Prot´eg´e. Different use-cases, including training new learners, querying and reasoning are exemplified and show remarkable benefit for both EMO and MCDM communities.eng
dc.description.sponsorshipLongmei Li acknowledges financial support from China Scholarship Council (CSC). Heike Trautmann and Michael Emmerich acknowledge support by the European Research Center for Information Systems (ERCIS).
dc.identifier.citationLi, Longmei & Yevseyeva, I. & Basto Fernandes, Vitor & Trautmann, Heike & Jing, Ning & Emmerich, Michael. (2017). Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. Lecture Notes in Computer Science. 10173. 406-421. 10.1007/978-3-319-54157-0_28
dc.identifier.doi10.1007/978-3-319-54157-0_28
dc.identifier.isbn9783319541563
dc.identifier.isbn9783319541570
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10400.8/15356
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer International Publishing
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-319-54157-0_28
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofEvolutionary Multi-Criterion Optimization
dc.rights.uriN/A
dc.subjectPreference
dc.subjectEvolutionary Multiobjective Optimization
dc.subjectMulticriteria decision making
dc.subjectOWL ontology
dc.subjectProtégé
dc.titleBuilding and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithmseng
dc.typebook part
dspace.entity.typePublication
oaire.citation.titleEvolutionary Multi-Criterion Optimization
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBasto-Fernandes
person.givenNameVitor
person.identifier.ciencia-id581C-52BB-AC4E
person.identifier.orcid0000-0003-4269-5114
person.identifier.ridN-1891-2016
person.identifier.scopus-author-id53363129900
relation.isAuthorOfPublicationfb2d3703-9d6a-4c22-bbc4-9ff14c162feb
relation.isAuthorOfPublication.latestForDiscoveryfb2d3703-9d6a-4c22-bbc4-9ff14c162feb

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