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dc.contributor.authorSoto R.
dc.contributor.authorCrawford B.
dc.contributor.authorVega E.
dc.contributor.authorParedes F.
dc.date.accessioned2020-09-02T22:28:45Z
dc.date.available2020-09-02T22:28:45Z
dc.date.issued2015
dc.identifier10.1007/978-3-319-27060-9_23
dc.identifier.citation9413, , 282-290
dc.identifier.issn03029743
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6333
dc.descriptionThe 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.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceSidorov G.Galicia-Haro S.N.
dc.subjectArtificial fish swarm algorithm
dc.subjectManufacturing cell design problem
dc.subjectMetaheuristic
dc.subjectAlgorithms
dc.subjectArtificial intelligence
dc.subjectCells
dc.subjectCellular manufacturing
dc.subjectCytology
dc.subjectDesign
dc.subjectFlexible manufacturing systems
dc.subjectHeuristic methods
dc.subjectManufacture
dc.subjectOptimal systems
dc.subjectOptimization
dc.subjectSoft computing
dc.subjectApproximate methods
dc.subjectArtificial fish swarm algorithms
dc.subjectCell design
dc.subjectComplex optimization problems
dc.subjectLarge-scale manufacturing
dc.subjectManufacturing strategy
dc.subjectMetaheuristic
dc.subjectSwarm intelligence algorithms
dc.subjectProblem solving
dc.titleSolving manufacturing cell design problems using an artificial fish swarm algorithm
dc.typeConference Paper


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