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dc.contributor.authorSoto R.
dc.contributor.authorCrawford B.
dc.contributor.authorAlarcón A.
dc.contributor.authorZec C.
dc.contributor.authorVega E.
dc.contributor.authorReyes V.
dc.contributor.authorAraya I.
dc.contributor.authorOlguín E.
dc.date.accessioned2020-09-02T22:28:38Z
dc.date.available2020-09-02T22:28:38Z
dc.date.issued2016
dc.identifier10.1007/978-3-319-41000-5_18
dc.identifier.citation9712 LNCS, , 184-191
dc.identifier.issn03029743
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6283
dc.descriptionManufacturing 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.
dc.language.isoen
dc.publisherSpringer Verlag
dc.subjectBat algorithm
dc.subjectBio-inspired systems
dc.subjectManufacturing cell design problems
dc.subjectMetaheuristic
dc.subjectBenchmarking
dc.subjectCells
dc.subjectCytology
dc.subjectFlexible manufacturing systems
dc.subjectBat algorithms
dc.subjectBioinspired systems
dc.subjectCell design
dc.subjectExploration and exploitation
dc.subjectManufacturing process
dc.subjectMetaheuristic
dc.subjectOptimal values
dc.subjectManufacture
dc.titleSolving manufacturing cell design problems by using a bat algorithm approach
dc.typeArticle


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