Dynamic scheduling of manufacturing systems using machine learning: An updated review

dc.contributor.author	Priore Moreno, Paolo
dc.contributor.author	Gómez Gómez, Alberto
dc.contributor.author	Pino Díez, Raúl
dc.contributor.author	Rosillo Camblor, Rafael
dc.date.accessioned	2014-05-20T08:55:22Z
dc.date.available	2014-05-20T08:55:22Z
dc.date.issued	2014
dc.identifier.citation	AI EDAM. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 28(1), p. 83-97 (2014); doi:10.1017/S0890060413000516
dc.identifier.issn	0890-0604
dc.identifier.issn	1469-1760
dc.identifier.uri	http://hdl.handle.net/10651/26773
dc.format.extent	p. 83-97
dc.language.iso	eng
dc.relation.ispartof	AI EDAM. Artificial Intelligence for Engineering Design, Analysis and Manufacturing
dc.rights	©,
dc.source	WOS:000332882000005
dc.title	Dynamic scheduling of manufacturing systems using machine learning: An updated review
dc.type	journal article
dc.identifier.local	20141616
dc.identifier.doi	10.1017/S0890060413000516
dc.relation.publisherversion	http://dx.doi.org/10.1017/S0890060413000516

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