Solving manufacturing cell design problems by using a bat algorithm approach

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dc.contributor.authorSoto, R.es_ES
dc.contributor.authorCrawford, B.es_ES
dc.contributor.authorAlarcón, A.es_ES
dc.contributor.authorZec, C.es_ES
dc.contributor.authorVega, E.es_ES
dc.contributor.authorReyes, V.es_ES
dc.contributor.authorAraya, I.es_ES
dc.contributor.authorOlguín, E.es_ES
dc.date.accessioned6/22/2022 13:33
dc.date.accessioned2022-09-30T16:49:30Z
dc.date.available6/22/2022 13:33
dc.date.available2022-09-30T16:49:30Z
dc.date.issued2016
dc.description.abstractManufacturing Cell Design is a problem that consist in distributing machines in cells, in such a way productivity is improved. The idea is that a product, build up by using different parts, has the least amount of travel on its manufacturing process. To solve the MCDP we use the Bat Algorithm, a metaheuristic inspired by a feature of the microbats, the echolocation. This feature allows an automatic exploration and exploitation balance, by controlling the rate of volume and emission pulses during the search. Our approach has been tested by using a well-known set of benchmark instances, reaching optimal values for most of them. © Springer International Publishing Switzerland 2016.es_ES
dc.formatapplication/pdfes_ES
dc.identifier.doi10.1007/978-3-319-41000-5_18es_ES
dc.identifier.urihttps://doi.org/10.1007/978-3-319-41000-5_18
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.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)es_ES
dc.subjectComputer Sciencees_ES
dc.subjectMathematicses_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.02.01es_ES
dc.titleSolving manufacturing cell design problems by using a bat algorithm approaches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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