Locating a competitive facility in the plane with a robustness criterion

A new continuous location model is presented and embedded in the literature on robustness in facility location. The multimodality of the model is investigated, and a branch and bound method based on dc optimization is described. Numerical experience is reported, showing that the developed method all...

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Detalles Bibliográficos
Autores: Blanquero Bravo, Rafael, Carrizosa Priego, Emilio José, Hendrix, Eligius M.T.
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2011
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/44816
Acceso en línea:http://hdl.handle.net/11441/44816
https://doi.org/10.1016/j.ejor.2011.05.040
Access Level:acceso abierto
Palabra clave:Robustness
Facility location
Robust solutions
Competitive location
Huff model
Dc programming
Branch and bound
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spelling Locating a competitive facility in the plane with a robustness criterionBlanquero Bravo, RafaelCarrizosa Priego, Emilio JoséHendrix, Eligius M.T.RobustnessFacility locationRobust solutionsCompetitive locationHuff modelDc programmingBranch and boundA new continuous location model is presented and embedded in the literature on robustness in facility location. The multimodality of the model is investigated, and a branch and bound method based on dc optimization is described. Numerical experience is reported, showing that the developed method allows one to solve in a few seconds problems with thousands of demand points.Ministerio de Ciencia e InnovaciónJunta de AndalucíaEuropean Regional Development FundElsevierEstadística e Investigación OperativaFQM329: Optimizacion2011info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/44816https://doi.org/10.1016/j.ejor.2011.05.040reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEuropean Journal of Operational Research, 215 (1), 21-24.TIN2008-01117MTM2008-3032MTM2009-14039P08-TIC-3518FQM-329http://ac.els-cdn.com/S0377221711004887/1-s2.0-S0377221711004887-main.pdf?_tid=446f64d6-75a4-11e6-b551-00000aab0f02&acdnat=1473326086_e6972bf6e9c0c1063399798987ca23d1info:eu-repo/semantics/openAccessoai:idus.us.es:11441/448162026-06-17T12:51:07Z
dc.title.none.fl_str_mv Locating a competitive facility in the plane with a robustness criterion
title Locating a competitive facility in the plane with a robustness criterion
spellingShingle Locating a competitive facility in the plane with a robustness criterion
Blanquero Bravo, Rafael
Robustness
Facility location
Robust solutions
Competitive location
Huff model
Dc programming
Branch and bound
title_short Locating a competitive facility in the plane with a robustness criterion
title_full Locating a competitive facility in the plane with a robustness criterion
title_fullStr Locating a competitive facility in the plane with a robustness criterion
title_full_unstemmed Locating a competitive facility in the plane with a robustness criterion
title_sort Locating a competitive facility in the plane with a robustness criterion
dc.creator.none.fl_str_mv Blanquero Bravo, Rafael
Carrizosa Priego, Emilio José
Hendrix, Eligius M.T.
author Blanquero Bravo, Rafael
author_facet Blanquero Bravo, Rafael
Carrizosa Priego, Emilio José
Hendrix, Eligius M.T.
author_role author
author2 Carrizosa Priego, Emilio José
Hendrix, Eligius M.T.
author2_role author
author
dc.contributor.none.fl_str_mv Estadística e Investigación Operativa
FQM329: Optimizacion
dc.subject.none.fl_str_mv Robustness
Facility location
Robust solutions
Competitive location
Huff model
Dc programming
Branch and bound
topic Robustness
Facility location
Robust solutions
Competitive location
Huff model
Dc programming
Branch and bound
description A new continuous location model is presented and embedded in the literature on robustness in facility location. The multimodality of the model is investigated, and a branch and bound method based on dc optimization is described. Numerical experience is reported, showing that the developed method allows one to solve in a few seconds problems with thousands of demand points.
publishDate 2011
dc.date.none.fl_str_mv 2011
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/44816
https://doi.org/10.1016/j.ejor.2011.05.040
url http://hdl.handle.net/11441/44816
https://doi.org/10.1016/j.ejor.2011.05.040
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv European Journal of Operational Research, 215 (1), 21-24.
TIN2008-01117
MTM2008-3032
MTM2009-14039
P08-TIC-3518
FQM-329
http://ac.els-cdn.com/S0377221711004887/1-s2.0-S0377221711004887-main.pdf?_tid=446f64d6-75a4-11e6-b551-00000aab0f02&acdnat=1473326086_e6972bf6e9c0c1063399798987ca23d1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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