Solving manufacturing cell design problems using an artificial fish swarm algorithm

dc.contributor.authorSoto, R.es_ES
dc.contributor.authorCrawford, B.es_ES
dc.contributor.authorVega, E.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.issued2015
dc.description.abstractThe design of manufacturing cells is a manufacturing strategy that involves the creation of an optimal design of production plants, whose main objective is to minimize movements and exchange of material between these cells. Optimal solution of large scale manufacturing cell design problems (MCDPs) are often computationally unfeasible and only heuristic and approximate methods are able to handle such problems. Artificial fish swarm algorithm (AFSA) belongs to the swarm intelligence algorithms, which based on population search, are able to solve complex optimization problems. In this paper we present an AFSA-based approach to solve the MCDP by using the classic Boctor’s mathematical model. The obtained results show that the proposed algorithm produces optimal solutions for all the 50 studied instances. © Springer International Publishing Switzerland 2015.es_ES
dc.formatapplication/pdfes_ES
dc.identifier.doi10.1007/978-3-319-27060-9_23es_ES
dc.identifier.urihttps://doi.org/10.1007/978-3-319-27060-9_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.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 using an artificial fish swarm algorithmes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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