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dc.creatorCarrizosa Priego, Emilio Josées
dc.creatorFliege, Jörges
dc.date.accessioned2016-09-08T11:07:15Z
dc.date.available2016-09-08T11:07:15Z
dc.date.issued2002-12
dc.identifier.citationCarrizosa Priego, E.J. y Fliege, J. (2002). Generalized goal programming: polynomial methods and applications. Mathematical Programming, 93 (2), 281-303.
dc.identifier.issn0025-5610es
dc.identifier.issn1436-4646es
dc.identifier.urihttp://hdl.handle.net/11441/44835
dc.description.abstractIn this paper we address a general Goal Programming problem with linear objectives, convex constraints, and an arbitrary componentwise nondecreasing norm to aggregate deviations with respect to targets. In particular, classical Linear Goal Programming problems, as well as several models in Location and Regression Analysis are modeled within this framework. In spite of its generality, this problem can be analyzed from a geometrical and a computational viewpoint, and a unified solution methodology can be given. Indeed, a dual is derived, enabling us to describe the set of optimal solutions geometrically. Moreover, Interior-Point methods are described which yield an ε-optimal solution in polynomial time.es
dc.description.sponsorshipDirección General de Enseñanza Superiores
dc.description.sponsorshipDeutsche Forschungsgesellschaftes
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofMathematical Programming, 93 (2), 281-303.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGoal programminges
dc.subjectClosest pointses
dc.subjectInterior point methodses
dc.subjectLocationes
dc.subjectRegressiones
dc.titleGeneralized goal programming: polynomial methods and applicationses
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.projectIDPB96-1416-C02-02es
dc.relation.publisherversionhttp://download.springer.com/static/pdf/833/art%253A10.1007%252Fs10107-002-0303-4.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs10107-002-0303-4&token2=exp=1473333825~acl=%2Fstatic%2Fpdf%2F833%2Fart%25253A10.1007%25252Fs10107-002-0303-4.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1007%252Fs10107-002-0303-4*~hmac=b9ec0dfd2722f4e0dce44249d85445500c5fb13c48ceaab228374ac52179f709es
dc.identifier.doi10.1007/s10107-002-0303-4es
dc.contributor.groupUniversidad de Sevilla. FQM329: Optimizaciones
idus.format.extent32 p.es
dc.journaltitleMathematical Programminges
dc.publication.volumen93es
dc.publication.issue2es
dc.publication.initialPage281es
dc.publication.endPage303es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/44835
dc.contributor.funderDirección General de Enseñanza Superior. España
dc.contributor.funderDeutsche Forschungsgemeinschaft / German Research Foundation (DFG)

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