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Particle swarm optimisation for open shop problems with fuzzy durations

dc.contributor.authorPalacios Alonso, Juan José 
dc.contributor.authorGonzález Rodríguez, Inés 
dc.contributor.authorRodríguez Vela, María del Camino 
dc.contributor.authorPuente Peinador, Jorge 
dc.date.accessioned2013-01-30T10:02:57Z
dc.date.available2013-01-30T10:02:57Z
dc.date.issued2011
dc.identifier.isbn978-3-642-21343-4
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10651/7422
dc.description4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. Proceedings, Part I
dc.descriptionLa publicación final está disponible en Springer http://dx.doi.org/10.1007/978-3-642-21344-1_38
dc.description.abstractIn this paper we confront a variation of the open shop problem where task durations are allowed to be uncertain and where uncertainty is modelled using fuzzy numbers. We propose a particle swarm optimization (PSO) approach to minimise the expected makespan using priorities to represent particle position, as well as a decoding algorithm to generate schedules in a subset of possibly active ones. Finally, the performance of the PSO is tested on several benchmark problems, modified so as to have fuzzy durations, compared with a memetic algorithm from the literature
dc.description.sponsorshipThis work is supported by the Spanish Ministry of Science and Education under research grant MEC-FEDER TIN2010-20976-C02-02
dc.format.extentp. 362-371spa
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofFoundations on Natural and Artificial Computationspa
dc.rights© 2011 Springer
dc.titleParticle swarm optimisation for open shop problems with fuzzy durationsspa
dc.typebook partspa
dc.identifier.local20110659spa
dc.identifier.doi10.1007/978-3-642-21344-1_38
dc.relation.projectIDMEC-FEDER/TIN2010-20976-C02-02
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-642-21344-1_38spa
dc.rights.accessRightsopen access


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