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dc.creatorDurillo, Juan J.es
dc.creatorGarcía Nieto, José Manueles
dc.creatorNebro, Antonio J.es
dc.creatorCoello Coello, Carlos A.es
dc.creatorLuna, Franciscoes
dc.creatorAlba, Enriquees
dc.date.accessioned2021-05-11T07:42:55Z
dc.date.available2021-05-11T07:42:55Z
dc.date.issued2009
dc.identifier.citationDurillo, J.J., García Nieto, J.M., Nebro, A.J., Coello Coello, C.A., Luna, F. y Alba, E. (2009). Multi-Objective Particle Swarm Optimizers: An Experimental Comparison. En EMO 2009: 5th International Conference on Evolutionary Multi-Criterion Optimization (495-509), Nantes, France: Springer.
dc.identifier.isbn978-3-642-01019-4es
dc.identifier.issn0302-9743es
dc.identifier.urihttps://hdl.handle.net/11441/108835
dc.description.abstractParticle Swarm Optimization (PSO) has received increasing attention in the optimization research community since its first appearance in the mid-1990s. Regarding multi-objective optimization, a considerable number of algorithms based on Multi-Objective Particle Swarm Optimizers (MOPSOs) can be found in the specialized literature. Unfortunately, no experimental comparisons have been made in order to clarify which MOPSO version shows the best performance. In this paper, we use a benchmark composed of three well-known problem families (ZDT, DTLZ, and WFG) with the aim of analyzing the search capabilities of six representative state-of-the-art MOPSOs, namely, NSPSO, SigmaMOPSO, OMOPSO, AMOPSO, MOPSOpd, and CLMOPSO. We additionally propose a new MOPSO algorithm, called SMPSO, characterized by including a velocity constraint mechanism, obtaining promising results where the rest perform inadequately.es
dc.description.sponsorshipJunta de Andalucía P07- TIC-03044es
dc.formatapplication/pdfes
dc.format.extent15es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofEMO 2009: 5th International Conference on Evolutionary Multi-Criterion Optimization (2009), pp. 495-509.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectParticle Swarm Optimizationes
dc.subjectMulti-objective optimizationes
dc.subjectComparative studyes
dc.titleMulti-Objective Particle Swarm Optimizers: An Experimental Comparisones
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.projectIDP07- TIC-03044es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-642-01020-0_39es
dc.identifier.doi10.1007/978-3-642-01020-0_39es
dc.publication.initialPage495es
dc.publication.endPage509es
dc.eventtitleEMO 2009: 5th International Conference on Evolutionary Multi-Criterion Optimizationes
dc.eventinstitutionNantes, Francees
dc.relation.publicationplaceBerlines
dc.contributor.funderJunta de Andalucíaes

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