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dc.contributor.authorSoto R.
dc.contributor.authorCrawford B.
dc.contributor.authorCarrasco C.
dc.contributor.authorAlmonacid B.
dc.contributor.authorReyes V.
dc.contributor.authorAraya I.
dc.contributor.authorMisra S.
dc.contributor.authorOlguín E.
dc.date.accessioned2020-09-02T22:28:39Z
dc.date.available2020-09-02T22:28:39Z
dc.date.issued2016
dc.identifier10.1007/978-3-319-42092-9_7
dc.identifier.citation9790, , 77-86
dc.identifier.issn03029743
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6291
dc.descriptionThe Manufacturing Cell Design is a problem that consist in organize machines in cells to increase productivity, i.e., minimize the movement of parts for a given product between machines. In order to solve this problem we use a Dolphin Echolocation algorithm, a recent bio-inspired metaheuristic based on a dolphin feature, the echolocation. This feature is used by the dolphin to search all around the search space for a target, then the dolphin exploits the surround area in order to find promising solutions. Our approach has been tested by using a set of 10 benchmark instances with several configurations, reaching to optimal values for all of them. © Springer International Publishing Switzerland 2016.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceMisra S.Gervasi O.Torre C.M.Taniar D.Stankova E.Rocha A.M.A.C.Wang S.Murgante B.Apduhan B.O.
dc.subjectDolphin Echolocation Algorithm
dc.subjectManufacturing cell design problems
dc.subjectMetaheuristics
dc.subjectAlgorithms
dc.subjectBenchmarking
dc.subjectCells
dc.subjectCytology
dc.subjectDolphins (structures)
dc.subjectFlexible manufacturing systems
dc.subjectManufacture
dc.subjectProduct design
dc.subjectSonar
dc.subjectCell design
dc.subjectMeta heuristics
dc.subjectMetaheuristic
dc.subjectOptimal values
dc.subjectSearch spaces
dc.subjectProblem solving
dc.titleSolving manufacturing cell design problems by using a dolphin echolocation algorithm
dc.typeConference Paper


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