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dc.date.accessioned 2010-10-01T14:31:06Z
dc.date.available 2010-10-01T03:00:00Z
dc.date.issued 2010-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9678
dc.description.abstract This paper presents a hybrid method to solve hard multiobjective problems. The proposed approach adopts an epsilon-constraint method which uses a Particle Swarm Optimizer to get points near of the true Pareto front. In this approach, only few points will be generated and then, new intermediate points will be calculated using an interpolation method, to increase the among of points in the output Pareto front. The proposed approach is validated using two difficult multiobjective test problems and the results are compared with those obtained by a multiobjective evolutionary algorithm representative of the state of the art: NSGA-II. en
dc.format.extent 117-122 es
dc.language en es
dc.subject optimización multiobjetivo es
dc.subject particle swarm optimization en
dc.subject métodos de restricción es
dc.subject optimización de enjambre de particulas es
dc.subject multi-objective optimization en
dc.subject epsilon-constraint method en
dc.title Solving Hard Multiobjective Problems with a Hybridized Method en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct10-2.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Cagnina, Leticia es
sedici.creator.person Esquivel, Susana Cecilia es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000006605 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 10, no. 3 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)