dc.creator | Durillo, Juan J. | es |
dc.creator | García Nieto, José Manuel | es |
dc.creator | Nebro, Antonio J. | es |
dc.creator | Coello Coello, Carlos A. | es |
dc.creator | Luna, Francisco | es |
dc.creator | Alba, Enrique | es |
dc.date.accessioned | 2021-05-11T07:42:55Z | |
dc.date.available | 2021-05-11T07:42:55Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Durillo, 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.isbn | 978-3-642-01019-4 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/108835 | |
dc.description.abstract | Particle 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.sponsorship | Junta de Andalucía P07- TIC-03044 | es |
dc.format | application/pdf | es |
dc.format.extent | 15 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | EMO 2009: 5th International Conference on Evolutionary Multi-Criterion Optimization (2009), pp. 495-509. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Particle Swarm Optimization | es |
dc.subject | Multi-objective optimization | es |
dc.subject | Comparative study | es |
dc.title | Multi-Objective Particle Swarm Optimizers: An Experimental Comparison | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | P07- TIC-03044 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-642-01020-0_39 | es |
dc.identifier.doi | 10.1007/978-3-642-01020-0_39 | es |
dc.publication.initialPage | 495 | es |
dc.publication.endPage | 509 | es |
dc.eventtitle | EMO 2009: 5th International Conference on Evolutionary Multi-Criterion Optimization | es |
dc.eventinstitution | Nantes, France | es |
dc.relation.publicationplace | Berlin | es |
dc.contributor.funder | Junta de Andalucía | es |