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Solving the manufacturing cell design problem through an autonomous water cycle algorithm

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dc.affiliation.dptoUC3M. Departamento de Tecnología Electrónicaes
dc.contributor.authorSoto, Ricardo
dc.contributor.authorCrawford, Broderick
dc.contributor.authorLanza Gutiérrez, José Manuel
dc.contributor.authorOlivares, Rodrigo
dc.contributor.authorCamacho, Pablo
dc.contributor.authorAstorga, Gino
dc.contributor.authorFuente-Mella, Hanns de la
dc.contributor.authorParedes, Fernando
dc.contributor.authorCastro, Carlos
dc.date.accessioned2021-03-15T12:44:24Z
dc.date.available2021-03-15T12:44:24Z
dc.date.issued2019-11-06
dc.description.abstractMetaheuristics are multi-purpose problem solvers devoted to particularly tackle large instances of complex optimization problems. However, in spite of the relevance of metaheuristics in the optimization world, their proper design and implementation to reach optimal solutions isnot a simple task. Metaheuristics require an initial parameter configuration, which is dramatically relevant for the efficient exploration and exploitation of the search space, and therefore to the effective finding of high-quality solutions. In this paper, the authors propose a variation of the water cycle inspired metaheuristic capable of automatically adjusting its parameter by using the autonomous search paradigm. The goal of our proposal is to explore and to exploit promising regions of the search space to rapidly converge to optimal solutions. To validate the proposal, we tested 160 instances of the manufacturing cell design problem, which is a relevant problem for the industry, whose objective is to minimize the number of movements and exchanges of parts between organizational elements called cells. As a result of the experimental analysis, the authors checked that the proposal performs similarly to the default approach, but without being specifically configured for solving the problem.en
dc.description.sponsorshipRicardo Soto is supported by Grant CONICYT/FONDECYT/REGULAR/1190129. Broderick Crawford is supported by Grant CONICYT/FONDECYT/REGULAR/1171243. Rodrigo Olivares is supported by Postgraduate Grant Pontificia Universidad Católica de Valparaíso (INF-PUCV 2015).en
dc.format.extent22
dc.identifier.bibliographicCitationSoto, R., Crawford, B., Lanza-Gutierrez, J. M., Olivares, R., Camacho, P., Astorga, G., Fuente-Mella de la, H., Paredes, F., Castro, C. (2019). Solving the Manufacturing Cell Design Problem through an Autonomous Water Cycle Algorithm. Applied Sciences, 9(22), 4736en
dc.identifier.doihttps://doi.org/10.3390/app9224736
dc.identifier.issn2076-3417
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue22 (4736)
dc.identifier.publicationlastpage22
dc.identifier.publicationtitleApplied Sciencesen
dc.identifier.publicationvolume9
dc.identifier.urihttps://hdl.handle.net/10016/32142
dc.identifier.uxxiAR/0000024426
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2019 by the authorsen
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subject.ecienciaElectrónicaes
dc.subject.otherMetaheuristicen
dc.subject.otherWater cycle algorithmen
dc.subject.otherAutonomous searchen
dc.subject.otherManufacturing cell design problemen
dc.titleSolving the manufacturing cell design problem through an autonomous water cycle algorithmen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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