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dc.creatorBello Garboza, Lenyses
dc.creatorBlanquero Bravo, Rafaeles
dc.creatorCarrizosa Priego, Emilio Josées
dc.date.accessioned2016-10-24T11:31:25Z
dc.date.available2016-10-24T11:31:25Z
dc.date.issued2011-01
dc.identifier.citationBello Garboza, L., Blanquero Bravo, R. y Carrizosa Priego, E.J. (2011). On minimax-regret Huff location models. Computers and Operations Research, 38 (1), 90-97.
dc.identifier.issn0305-0548es
dc.identifier.issn1873-765Xes
dc.identifier.urihttp://hdl.handle.net/11441/48018
dc.description.abstractWe address the following single-facility location problem: a firm is entering into a market by locating one facility in a region of the plane. The demand captured from each user by the facility will be proportional to the users buying power and inversely proportional to a function of the user-facility distance. Uncertainty exists on the buying power (weight) of the users. This is modeled by assuming that a set of scenarios exists, each scenario corresponding to a weight realization. The objective is to locate the facility following the Savage criterion, i.e., the minimax-regret location is sought. The problem is formulated as a global optimization problem with objective written as difference of two convex monotonic functions. The numerical results obtained show that a branch and bound using this new method for obtaining bounds clearly outperforms benchmark procedures.es
dc.description.sponsorshipMinisterio de Educación y Cienciaes
dc.description.sponsorshipJunta de Andalucíaes
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofComputers and Operations Research, 38 (1), 90-97.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectContinuous locationes
dc.subjectHuff modeles
dc.subjectDC functionses
dc.subjectDCM functionses
dc.subjectGlobal optimizationes
dc.subjectMinimax regretes
dc.titleOn minimax-regret Huff location modelses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Estadística e Investigación Operativaes
dc.relation.projectIDMTM2008-09362es
dc.relation.projectIDMTM2009-14039es
dc.relation.projectIDFQM-329es
dc.relation.publisherversionhttp://ac.els-cdn.com/S0305054810000742/1-s2.0-S0305054810000742-main.pdf?_tid=20086496-99dd-11e6-ac71-00000aacb35e&acdnat=1477308748_39c130cf22741145f2fd29877b45d622es
dc.identifier.doi10.1016/j.cor.2010.04.001es
dc.contributor.groupUniversidad de Sevilla. FQM329: Optimizaciones
idus.format.extent16 p.es
dc.journaltitleComputers and Operations Researches
dc.publication.volumen38es
dc.publication.issue1es
dc.publication.initialPage90es
dc.publication.endPage97es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/48018
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). España
dc.contributor.funderJunta de Andalucía

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