A decomposition approach for the p-median problem on disconnected graphs

Detalhes bibliográficos
Autor(a) principal: Agra, Agostinho
Data de Publicação: 2017
Outros Autores: Cerdeira, Jorge Orestes, Requejo, Cristina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/18403
Resumo: The p-median problem seeks for the location of p facilities on the vertices (customers) of a graph to minimize the sum of transportation costs for satisfying the demands of the customers from the facilities. In many real applications of the p-median problem the underlying graph is disconnected. That is the case of p-median problem defined over split administrative regions or regions geographically apart (e.g. archipelagos), and the case of problems coming from industry such as the optimal diversity management problem. In such cases the problem can be decomposed into smaller p-median problems which are solved in each component k for different feasible values of pk, and the global solution is obtained by finding the best combination of pk medians. This approach has the advantage that it permits to solve larger instances since only the sizes of the connected components are important and not the size of the whole graph. However, since the optimal number of facilities to select from each component is not known, it is necessary to solve p-median problems for every feasible number of facilities on each component. In this paper we give a decomposition algorithm that uses a procedure to reduce the number of subproblems to solve. Computational tests on real instances of the optimal diversity management problem and on simulated instances are reported showing that the reduction of subproblems is significant, and that optimal solutions were found within reasonable time.
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spelling A decomposition approach for the p-median problem on disconnected graphsLocationOptimal diversity management problemDecompositionThe p-median problem seeks for the location of p facilities on the vertices (customers) of a graph to minimize the sum of transportation costs for satisfying the demands of the customers from the facilities. In many real applications of the p-median problem the underlying graph is disconnected. That is the case of p-median problem defined over split administrative regions or regions geographically apart (e.g. archipelagos), and the case of problems coming from industry such as the optimal diversity management problem. In such cases the problem can be decomposed into smaller p-median problems which are solved in each component k for different feasible values of pk, and the global solution is obtained by finding the best combination of pk medians. This approach has the advantage that it permits to solve larger instances since only the sizes of the connected components are important and not the size of the whole graph. However, since the optimal number of facilities to select from each component is not known, it is necessary to solve p-median problems for every feasible number of facilities on each component. In this paper we give a decomposition algorithm that uses a procedure to reduce the number of subproblems to solve. Computational tests on real instances of the optimal diversity management problem and on simulated instances are reported showing that the reduction of subproblems is significant, and that optimal solutions were found within reasonable time.Elsevier2017-102017-10-01T00:00:00Z2019-09-25T15:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/18403eng0305-054810.1016/j.cor.2017.05.006Agra, AgostinhoCerdeira, Jorge OrestesRequejo, Cristinainfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:34:41Zoai:ria.ua.pt:10773/18403Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:53:02.881352Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A decomposition approach for the p-median problem on disconnected graphs
title A decomposition approach for the p-median problem on disconnected graphs
spellingShingle A decomposition approach for the p-median problem on disconnected graphs
Agra, Agostinho
Location
Optimal diversity management problem
Decomposition
title_short A decomposition approach for the p-median problem on disconnected graphs
title_full A decomposition approach for the p-median problem on disconnected graphs
title_fullStr A decomposition approach for the p-median problem on disconnected graphs
title_full_unstemmed A decomposition approach for the p-median problem on disconnected graphs
title_sort A decomposition approach for the p-median problem on disconnected graphs
author Agra, Agostinho
author_facet Agra, Agostinho
Cerdeira, Jorge Orestes
Requejo, Cristina
author_role author
author2 Cerdeira, Jorge Orestes
Requejo, Cristina
author2_role author
author
dc.contributor.author.fl_str_mv Agra, Agostinho
Cerdeira, Jorge Orestes
Requejo, Cristina
dc.subject.por.fl_str_mv Location
Optimal diversity management problem
Decomposition
topic Location
Optimal diversity management problem
Decomposition
description The p-median problem seeks for the location of p facilities on the vertices (customers) of a graph to minimize the sum of transportation costs for satisfying the demands of the customers from the facilities. In many real applications of the p-median problem the underlying graph is disconnected. That is the case of p-median problem defined over split administrative regions or regions geographically apart (e.g. archipelagos), and the case of problems coming from industry such as the optimal diversity management problem. In such cases the problem can be decomposed into smaller p-median problems which are solved in each component k for different feasible values of pk, and the global solution is obtained by finding the best combination of pk medians. This approach has the advantage that it permits to solve larger instances since only the sizes of the connected components are important and not the size of the whole graph. However, since the optimal number of facilities to select from each component is not known, it is necessary to solve p-median problems for every feasible number of facilities on each component. In this paper we give a decomposition algorithm that uses a procedure to reduce the number of subproblems to solve. Computational tests on real instances of the optimal diversity management problem and on simulated instances are reported showing that the reduction of subproblems is significant, and that optimal solutions were found within reasonable time.
publishDate 2017
dc.date.none.fl_str_mv 2017-10
2017-10-01T00:00:00Z
2019-09-25T15:00:00Z
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url http://hdl.handle.net/10773/18403
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language eng
dc.relation.none.fl_str_mv 0305-0548
10.1016/j.cor.2017.05.006
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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