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dc.contributor.authorAnton-Sanchez, Laura-
dc.contributor.authorG.-Tóth, Boglárka-
dc.contributor.authorFernández, José-
dc.contributor.otherDepartamentos de la UMH::Estadística, Matemáticas e Informáticaes_ES
dc.date.accessioned2025-01-10T08:59:36Z-
dc.date.available2025-01-10T08:59:36Z-
dc.date.created2024-
dc.identifier.citationEuropean Journal of Operational Researches_ES
dc.identifier.issn1872-6860-
dc.identifier.issn0377-2217-
dc.identifier.urihttps://hdl.handle.net/11000/34259-
dc.description.abstractThe problem of an expanding chain in a given area is considered. It may locate a new facility, vary the quality of its existing facilities, close some of them, or a combination of all these possibilities, whatever is the best to maximize its profit, given a budget for the expansion. A new competitive location and design model is proposed that allows all these possibilities. The resulting model is a difficult to solve MINLP problem. A branch-and-bound method based on interval analysis is proposed to cope with it. The method can solve medium-size problems in a reasonable amount of CPU time. An ad-hoc heuristic and a hybrid method that usually find a near-optimal solution in a fraction of time of the exact method are also proposed. Some computational studies are presented to show the performance of the algorithms.es_ES
dc.formatapplication/pdfes_ES
dc.format.extent17es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.ispartofseries313es_ES
dc.relation.ispartofseries3es_ES
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectLocationes_ES
dc.subjectMINLPes_ES
dc.subjectBranch-and-boundes_ES
dc.subjectHeuristices_ES
dc.subjectHybrid algorithmes_ES
dc.subject.otherCDU::5 - Ciencias puras y naturales::51 - Matemáticases_ES
dc.titleA Huff-like location model with quality adjustment and/or closing of existing facilitieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.ejor.2023.08.054es_ES
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Artículos Estadística, Matemáticas e Informática


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