dc.date.accessioned2023-06-28T14:36:04Z
dc.date.accessioned2023-09-07T16:40:50Z
dc.date.available2023-06-28T14:36:04Z
dc.date.available2023-09-07T16:40:50Z
dc.date.created2023-06-28T14:36:04Z
dc.date.issued2011
dc.identifierSolano-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.
dc.identifier0956-5515
dc.identifierhttps://link.springer.com/article/10.1007/s10845-009-0370-y
dc.identifierhttp://hdl.handle.net/10818/55746
dc.identifier10.1007/s10845-009-0370-y
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8737280
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.
dc.languageeng
dc.publisherJournal of Intelligent Manufacturing
dc.relationJournal of Intelligent Manufacturing, Vol 22 Núm (5), pág 815-822;
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsopenAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.titleAnt colony optimization algorithm for a Bi-criteria 2-stage hybrid flowshop scheduling problem
dc.typejournal article


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