A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem
The discrete ordered median problem (DOMP) is formulated as a set-partitioning problem using an exponential number of variables. Each variable corresponds to a set of demand points allocated to the same facility with the information of the sorting position of their corresponding costs. We develop a...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/138653 |
| Acceso en línea: | https://hdl.handle.net/11441/138653 https://doi.org/10.1287/ijoc.2019.0915 |
| Access Level: | acceso abierto |
| Palabra clave: | discrete optimization location theory branch and price ordered median problems |
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A Branch-Price-and-Cut Procedure for the Discrete Ordered Median ProblemDeleplanque, SamuelLabbé, MartinePonce López, DiegoPuerto Albandoz, Justodiscrete optimizationlocation theorybranch and priceordered median problemsThe discrete ordered median problem (DOMP) is formulated as a set-partitioning problem using an exponential number of variables. Each variable corresponds to a set of demand points allocated to the same facility with the information of the sorting position of their corresponding costs. We develop a column generation approach to solve the continuous relaxation of this model. Then we apply a branch-price-and-cut algorithm to solve small- to large-sized instances of DOMP in competitive computational time.informsEstadística e Investigación OperativaFQM331: Metodos y Modelos de la Estadistica y la Investigacion Operativa2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/138653https://doi.org/10.1287/ijoc.2019.0915reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésINFORMS journal on computing, 32 (3), 582-599.https://doi.org/10.1287/ijoc.2019.0915info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1386532026-06-17T12:51:07Z |
| dc.title.none.fl_str_mv |
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem |
| title |
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem |
| spellingShingle |
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem Deleplanque, Samuel discrete optimization location theory branch and price ordered median problems |
| title_short |
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem |
| title_full |
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem |
| title_fullStr |
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem |
| title_full_unstemmed |
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem |
| title_sort |
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem |
| dc.creator.none.fl_str_mv |
Deleplanque, Samuel Labbé, Martine Ponce López, Diego Puerto Albandoz, Justo |
| author |
Deleplanque, Samuel |
| author_facet |
Deleplanque, Samuel Labbé, Martine Ponce López, Diego Puerto Albandoz, Justo |
| author_role |
author |
| author2 |
Labbé, Martine Ponce López, Diego Puerto Albandoz, Justo |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Estadística e Investigación Operativa FQM331: Metodos y Modelos de la Estadistica y la Investigacion Operativa |
| dc.subject.none.fl_str_mv |
discrete optimization location theory branch and price ordered median problems |
| topic |
discrete optimization location theory branch and price ordered median problems |
| description |
The discrete ordered median problem (DOMP) is formulated as a set-partitioning problem using an exponential number of variables. Each variable corresponds to a set of demand points allocated to the same facility with the information of the sorting position of their corresponding costs. We develop a column generation approach to solve the continuous relaxation of this model. Then we apply a branch-price-and-cut algorithm to solve small- to large-sized instances of DOMP in competitive computational time. |
| publishDate |
2020 |
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2020 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/11441/138653 https://doi.org/10.1287/ijoc.2019.0915 |
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https://hdl.handle.net/11441/138653 https://doi.org/10.1287/ijoc.2019.0915 |
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Inglés |
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Inglés |
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INFORMS journal on computing, 32 (3), 582-599. https://doi.org/10.1287/ijoc.2019.0915 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf application/pdf |
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informs |
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informs |
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reponame:idUS. Depósito de Investigación de la Universidad de Sevilla instname:Universidad de Sevilla (US) |
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Universidad de Sevilla (US) |
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idUS. Depósito de Investigación de la Universidad de Sevilla |
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idUS. Depósito de Investigación de la Universidad de Sevilla |
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