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

dc.contributor.author	Palacios Alonso, Juan José
dc.contributor.author	González Rodríguez, Inés
dc.contributor.author	Rodríguez Vela, María del Camino
dc.contributor.author	Puente Peinador, Jorge
dc.date.accessioned	2019-03-05T13:08:24Z
dc.date.available	2019-03-05T13:08:24Z
dc.date.issued	2019
dc.identifier.citation	Integrated Computer-Aided Engineering, 26(1), p. 65-84 (2019); doi:10.3233/ICA-180583
dc.identifier.issn	1069-2509
dc.identifier.uri	http://hdl.handle.net/10651/50741
dc.description.sponsorship	This research has been supported by the Spanish Government under research grant TIN2016-79190-R.
dc.format.extent	p. 65-84
dc.language.iso	eng
dc.relation.ispartof	Integrated Computer-Aided Engineering, 26
dc.rights	© 2019 IOS Press
dc.rights	CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058526603&doi=10.3233%2fICA-180583&partnerID=40&md5=f1ca48e4f19b9d037b3717b9657a826d
dc.title	Satisfying flexible due dates in fuzzy job shop by means of hybrid evolutionary algorithms
dc.type	journal article
dc.identifier.doi	10.3233/ICA-180583
dc.relation.projectID	TIN2016-79190-R
dc.relation.publisherversion	http://dx.doi.org/10.3233/ICA-180583
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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