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A generalized model of equality measures in network location problems

dc.creatorLópez de los Mozos Martín, María Cruzes
dc.creatorMesa López-Colmenar, Juan Antonioes
dc.creatorPuerto Albandoz, Justoes
dc.date.accessioned2016-10-13T10:02:31Z
dc.date.available2016-10-13T10:02:31Z
dc.date.issued2008-03
dc.identifier.citationLópez de los Mozos Martín, M.C., Mesa López-Colmenar, J.A. y Puerto Albandoz, J. (2008). A generalized model of equality measures in network location problems. Computers and Operations Research, 35 (3), 651-660.
dc.identifier.issn0305-0548es
dc.identifier.issn1873-765Xes
dc.identifier.urihttp://hdl.handle.net/11441/47429
dc.description.abstractIn this paper, the concept of the ordered weighted averaging operator is applied to define a model which unifies and generalizes several inequality measures. For a location x, the value of the new objective function is the ordered weighted average of the absolute deviations from the average distance from the facilities to the location x. Several kinds of networks are studied: cyclic, tree and path networks and, for each of them, the properties of the objective function are analyzed in order to identify a finite dominating set for optimal locations. Polynomial-time algorithms are proposed for these problems, and the corresponding complexity is discussed.es
dc.description.sponsorshipFuture and Emerging Technologies Unit (European Commission)es
dc.description.sponsorshipMinisterio de Educación y Cienciaes
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofComputers and Operations Research, 35 (3), 651-660.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectLocationes
dc.subjectNetworkses
dc.subjectEquality measureses
dc.titleA generalized model of equality measures in network location problemses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)es
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada II (ETSI)es
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Estadística e Investigación Operativaes
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP6/021235-2es
dc.relation.projectIDBFM2003-04062es
dc.relation.projectIDMTM2004-0909es
dc.relation.publisherversionhttp://ac.els-cdn.com/S0305054806001298/1-s2.0-S0305054806001298-main.pdf?_tid=7487434e-912b-11e6-ba99-00000aacb362&acdnat=1476352830_d1087a256d5c300e63f6e6b02f9bfcb1es
dc.identifier.doi10.1016/j.cor.2006.05.016es
dc.contributor.groupUniversidad de Sevilla. FQM241: Grupo de Investigacion en Localizaciones
dc.contributor.groupUniversidad de Sevilla. FQM331: Metodos y Modelos de la Estadistica y la Investigacion Operativaes
idus.format.extent10 p.es
dc.journaltitleComputers and Operations Researches
dc.publication.volumen35es
dc.publication.issue3es
dc.publication.initialPage651es
dc.publication.endPage660es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/47429
dc.contributor.funderEuropean Commission (EC)
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). España

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