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Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/48230
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dc.contributor.authorSantos Peñate, Dolores Rosaen_US
dc.contributor.authorCampos Rodriguez,Clara Margaritaen_US
dc.contributor.authorMoreno Pérez,José Andrésen_US
dc.date.accessioned2018-11-23T19:58:59Z-
dc.date.available2018-11-23T19:58:59Z-
dc.date.issued2018en_US
dc.identifier.isbn978-3-319-74717-0en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/48230-
dc.description.abstractWe consider the leader-follower problem in a discrete space. We apply an algorithm which integrates the linear programming formulation of the problems for the leader and the follower and, in an iterative process, finds a solution by solving a sequence of these linear problems. We propose a matheuristic procedure where the problem of the leader is solved via a kernel search algorithm.en_US
dc.languageengen_US
dc.publisherSpringeren_US
dc.relationTécnicas de Optimización y Modelos en Redes Complejas Para la Toma de Decisiones en Economíaen_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceComputer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science, v. 10671 LNCS, p. 266-274en_US
dc.subject5311 Organización y dirección de empresasen_US
dc.subject.otherLocalización de empresasen_US
dc.subject.otherCompetitive locationen_US
dc.subject.otherLeader-follower problemen_US
dc.subject.other(r|p)-centroiden_US
dc.subject.other(r|Xp)-medianoiden_US
dc.subject.otherLinear programmingen_US
dc.subject.otherKernel searchen_US
dc.titleA matheuristic to solve a competitive location problemen_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBook parten_US
dc.relation.conference16th International Conference on Computer Aided Systems Theory, (EUROCAST 2017)-
dc.identifier.doi10.1007/978-3-319-74718-7_32en_US
dc.identifier.scopus85041802031-
dc.contributor.authorscopusid6506715299-
dc.contributor.authorscopusid6505993221-
dc.contributor.authorscopusid6603409673-
dc.description.lastpage274en_US
dc.description.firstpage266en_US
dc.relation.volume10671 LNCSen_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Capítulo de libroen_US
dc.identifier.eisbn978-3-319-74718-7-
dc.utils.revisionSíen_US
dc.date.coverdateEnero 2018en_US
dc.identifier.supplement0302-9743-
dc.identifier.conferenceidevents121625-
dc.identifier.ulpgcSíen_US
dc.identifier.ulpgcSíen_US
dc.identifier.ulpgcSíen_US
dc.identifier.ulpgcSíen_US
dc.description.sjr0,283
dc.description.sjrqQ2
dc.description.spiqQ1
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-2694-7943-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameSantos Peñate, Dolores Rosa-
crisitem.author.fullNameCampos Rodriguez,Clara Margarita-
crisitem.author.fullNameMoreno Pérez,José Andrés-
crisitem.event.eventsstartdate19-02-2017-
crisitem.event.eventsenddate24-02-2017-
crisitem.project.principalinvestigatorSantos Peñate, Dolores Rosa-
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