COMPUTING MAX FLOWS THROUGH CUT NODES

Detalhes bibliográficos
Autor(a) principal: Araujo,João Paulo de Freitas
Data de Publicação: 2017
Outros Autores: Raupp,Fernanda Maria Pereira, Leal,José Eugenio, Diallo,Madiagne
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000300437
Resumo: ABSTRACT In this work, the presence of cut nodes in a network is exploited to propose a competitive method for the multi-terminal maximum flow problem. The main idea of the method is based on the relation between cut-trees and cut nodes, which is observed in the context of sensitivity analysis on the variation of edges capacities. Computational experiments were conducted with the proposed algorithm, whose results were compared with the ones of Gusfield, for randomly generated and well-known instances of the literature. The numerical results demonstrate the potential of the method for some classes of instances. Moreover, the proposed method was adapted for the single maximum flow problem, but failed to improve existing running times for the very same classes of instances.
id SOBRAPO-1_93ec012fc44f4d95759763d8c04b9e0d
oai_identifier_str oai:scielo:S0101-74382017000300437
network_acronym_str SOBRAPO-1
network_name_str Pesquisa operacional (Online)
repository_id_str
spelling COMPUTING MAX FLOWS THROUGH CUT NODESmaximum flowcut-treecut nodesABSTRACT In this work, the presence of cut nodes in a network is exploited to propose a competitive method for the multi-terminal maximum flow problem. The main idea of the method is based on the relation between cut-trees and cut nodes, which is observed in the context of sensitivity analysis on the variation of edges capacities. Computational experiments were conducted with the proposed algorithm, whose results were compared with the ones of Gusfield, for randomly generated and well-known instances of the literature. The numerical results demonstrate the potential of the method for some classes of instances. Moreover, the proposed method was adapted for the single maximum flow problem, but failed to improve existing running times for the very same classes of instances.Sociedade Brasileira de Pesquisa Operacional2017-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000300437Pesquisa Operacional v.37 n.3 2017reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2017.037.03.0437info:eu-repo/semantics/openAccessAraujo,João Paulo de FreitasRaupp,Fernanda Maria PereiraLeal,José EugenioDiallo,Madiagneeng2018-03-01T00:00:00Zoai:scielo:S0101-74382017000300437Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2018-03-01T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv COMPUTING MAX FLOWS THROUGH CUT NODES
title COMPUTING MAX FLOWS THROUGH CUT NODES
spellingShingle COMPUTING MAX FLOWS THROUGH CUT NODES
Araujo,João Paulo de Freitas
maximum flow
cut-tree
cut nodes
title_short COMPUTING MAX FLOWS THROUGH CUT NODES
title_full COMPUTING MAX FLOWS THROUGH CUT NODES
title_fullStr COMPUTING MAX FLOWS THROUGH CUT NODES
title_full_unstemmed COMPUTING MAX FLOWS THROUGH CUT NODES
title_sort COMPUTING MAX FLOWS THROUGH CUT NODES
author Araujo,João Paulo de Freitas
author_facet Araujo,João Paulo de Freitas
Raupp,Fernanda Maria Pereira
Leal,José Eugenio
Diallo,Madiagne
author_role author
author2 Raupp,Fernanda Maria Pereira
Leal,José Eugenio
Diallo,Madiagne
author2_role author
author
author
dc.contributor.author.fl_str_mv Araujo,João Paulo de Freitas
Raupp,Fernanda Maria Pereira
Leal,José Eugenio
Diallo,Madiagne
dc.subject.por.fl_str_mv maximum flow
cut-tree
cut nodes
topic maximum flow
cut-tree
cut nodes
description ABSTRACT In this work, the presence of cut nodes in a network is exploited to propose a competitive method for the multi-terminal maximum flow problem. The main idea of the method is based on the relation between cut-trees and cut nodes, which is observed in the context of sensitivity analysis on the variation of edges capacities. Computational experiments were conducted with the proposed algorithm, whose results were compared with the ones of Gusfield, for randomly generated and well-known instances of the literature. The numerical results demonstrate the potential of the method for some classes of instances. Moreover, the proposed method was adapted for the single maximum flow problem, but failed to improve existing running times for the very same classes of instances.
publishDate 2017
dc.date.none.fl_str_mv 2017-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000300437
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000300437
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0101-7438.2017.037.03.0437
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.37 n.3 2017
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
_version_ 1750318018167046144