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dc.contributor.authorSolano-Charris, Elyn L.
dc.contributor.authorMontoya Torres, Jairo R.
dc.contributor.authorPaternina Arboleda, Carlos D.
dc.date.accessioned2023-06-28T14:36:04Z
dc.date.available2023-06-28T14:36:04Z
dc.date.issued2011
dc.identifier.citationSolano-Charris, E.L., Montoya-Torres, J.R., Paternina-Arboleda, C.D. (2011). Ant colony optimization algorithm for a Bi-criteria 2-stage hybrid flowshop scheduling problem. Journal of Intelligent Manufacturing, 22(5), 815-822.es_CO
dc.identifier.issn0956-5515
dc.identifier.otherhttps://link.springer.com/article/10.1007/s10845-009-0370-y
dc.identifier.urihttp://hdl.handle.net/10818/55746
dc.description8 páginases_CO
dc.description.abstractWe consider the problem of scheduling jobs in a hybrid flowshop with two stages. Our objective is to minimize both the makespan and the total completion time of jobs. This problem has been little studied in the literature. To solve the problem, we propose an ant colony optimization procedure. Computational experiments are conducted using random-generated instances from the literature. In comparison against other well-known heuristics from the literature, experimental results show that our algorithm outperforms such heuristics.es_CO
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.publisherJournal of Intelligent Manufacturinges_CO
dc.relation.ispartofseriesJournal of Intelligent Manufacturing, Vol 22 Núm (5), pág 815-822;
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherPlanificación
dc.subject.otherTaller de flujo híbrido
dc.titleAnt colony optimization algorithm for a Bi-criteria 2-stage hybrid flowshop scheduling problemes_CO
dc.typejournal articlees_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccesses_CO
dc.identifier.doi10.1007/s10845-009-0370-y


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