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A migrating birds optimization algorithm for machine-part cell formation problems

dc.contributor.authorSoto R.
dc.contributor.authorCrawford B.
dc.contributor.authorAlmonacid B.
dc.contributor.authorParedes F.
dc.date.accessioned2020-09-02T22:28:39Z
dc.date.available2020-09-02T22:28:39Z
dc.date.issued2015
dc.identifier10.1007/978-3-319-27060-9_22
dc.identifier.citation9413, , 270-281
dc.identifier.issn03029743
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6287
dc.descriptionMachine-Part Cell Formation Problems consists in organizing a plant as a set of cells, each one of them processing machines containing the same type of parts. In recent years, different meta-heuristic have been used to solve this problem. This paper addresses the problem of Machine-Part Cell Formation by using the Migrating Birds Optimization algorithm. The computational experiments show that in most of the benchmark problems the results obtained from the proposed approach are better than those obtained by other methods which are reported in the literature. © Springer International Publishing Switzerland 2015.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceSidorov G.Galicia-Haro S.N.
dc.subjectCell formation problem
dc.subjectMeta-heuristics
dc.subjectMigrating birds optimization
dc.subjectNature-inspired algorithms
dc.subjectAlgorithms
dc.subjectArtificial intelligence
dc.subjectBirds
dc.subjectCells
dc.subjectCellular manufacturing
dc.subjectCytology
dc.subjectMachinery
dc.subjectProblem solving
dc.subjectSoft computing
dc.subjectBench-mark problems
dc.subjectCell formation problem
dc.subjectComputational experiment
dc.subjectMeta heuristics
dc.subjectMigrating birds
dc.subjectNature inspired algorithms
dc.subjectOptimization algorithms
dc.subjectProcessing machines
dc.subjectOptimization
dc.titleA migrating birds optimization algorithm for machine-part cell formation problems
dc.typeConference Paper


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