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Satisfying flexible due dates in fuzzy job shop by means of hybrid evolutionary algorithms

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.accessioned2019-03-05T13:08:24Z
dc.date.available2019-03-05T13:08:24Z
dc.date.issued2019
dc.identifier.citationIntegrated Computer-Aided Engineering, 26(1), p. 65-84 (2019); doi:10.3233/ICA-180583
dc.identifier.issn1069-2509
dc.identifier.urihttp://hdl.handle.net/10651/50741
dc.description.sponsorshipThis research has been supported by the Spanish Government under research grant TIN2016-79190-R.
dc.format.extentp. 65-84
dc.language.isoeng
dc.relation.ispartofIntegrated Computer-Aided Engineering, 26
dc.rights© 2019 IOS Press
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85058526603&doi=10.3233%2fICA-180583&partnerID=40&md5=f1ca48e4f19b9d037b3717b9657a826d
dc.titleSatisfying flexible due dates in fuzzy job shop by means of hybrid evolutionary algorithms
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.3233/ICA-180583
dc.type.dcmitext
dc.relation.projectIDTIN2016-79190-R
dc.relation.publisherversionhttp://dx.doi.org/10.3233/ICA-180583


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