Solving the job shop scheduling problem with operators by depth-first heuristic search enhanced with global pruning rules

dc.contributor.author	Mencía Cascallana, Carlos
dc.contributor.author	Sierra Sánchez, María Rita
dc.contributor.author	Salido Gregorio, Miguel Ángel
dc.contributor.author	Escamilla, Joan
dc.contributor.author	Varela Arias, José Ramiro
dc.date.accessioned	2015-07-13T11:28:49Z
dc.date.available	2015-07-13T11:28:49Z
dc.date.issued	2015
dc.identifier.citation	AI Communications, 28(2), p. 365-381 (2015); doi:10.3233/AIC-140630
dc.identifier.issn	0921-7126
dc.identifier.issn	1875-8452
dc.identifier.uri	http://hdl.handle.net/10651/31633
dc.description.sponsorship	Spanish Government [MEC-FEDER TIN-20976-C02-01, TIN-20976-C02-02]; Principality of Asturias [FICYT-BP09105]
dc.format.extent	p. 365-381
dc.language.iso	eng
dc.relation.ispartof	AI Communications
dc.rights	©,
dc.source	WOS:000349156700012
dc.source.uri	http://content.iospress.com/articles/ai-communications/aic630
dc.title	Solving the job shop scheduling problem with operators by depth-first heuristic search enhanced with global pruning rules
dc.type	journal article
dc.identifier.doi	10.3233/AIC-140630
dc.relation.publisherversion	http://dx.doi.org/10.3233/AIC-140630

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