Solving manufacturing cell design problems using a shuffled frog leaping algorithm

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dc.contributor.authorSoto, R.es_ES
dc.contributor.authorCrawford, B.es_ES
dc.contributor.authorVega, E.es_ES
dc.contributor.authorJohnson, F.es_ES
dc.contributor.authorParedes, F.es_ES
dc.date.accessioned6/22/2022 13:33
dc.date.accessioned2022-09-30T16:09:27Z
dc.date.available6/22/2022 13:33
dc.date.available2022-09-30T16:09:27Z
dc.date.issued2016
dc.description.abstractThe manufacturing Cell Design Problem (MCDP) is a well-known problem for lines of manufacture where the main goal is to minimize the inter-cell moves. To solve the MCDP we employ the Shuffled Frog Leaping Algorithm (SFLA), which is a metaheuristic inspired on the natural memetic features of frogs. The frog tries to leap all over the search space for a better result until the stopping criteria is met. The obtained results are compared with previous approaches of the algorithm to test the real efficiency of our proposed SFLA. The results show that the proposed algorithm produces optimal solutions for all the 50 studied instances. © Springer International Publishing Switzerland 2016.es_ES
dc.formatapplication/pdfes_ES
dc.identifier.doi10.1007/978-3-319-26690-9_23es_ES
dc.identifier.urihttps://doi.org/10.1007/978-3-319-26690-9_23
dc.language.isoenges_ES
dc.publisherSpringer Verlages_ES
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_ES
dc.sourceAdvances in Intelligent Systems and Computinges_ES
dc.subjectComputer Sciencees_ES
dc.subjectEngineeringes_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.02.01es_ES
dc.titleSolving manufacturing cell design problems using a shuffled frog leaping algorithmes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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