Formulations for the clustered traveling salesman problem with d-relaxed priority rule

Bibliographic Details
Main Author: dos Santos Teixeira, Eduardo [UNESP]
Publication Date: 2024
Other Authors: de Araujo, Silvio Alexandre [UNESP]
Format: Article
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1016/j.cor.2023.106402
https://hdl.handle.net/11449/299180
Summary: In the classical Traveling Salesman Problem, the order in which the vertices are visited has no restrictions. The only condition imposed is that each vertex is visited only once. In some real situations this condition may not be sufficient to represent the problem, as there are cases in which the vertex visit order becomes extremely important. In other words, it is also necessary to consider a priority between the vertices. To deal with these situations, some formulations are proposed in the literature and are based on a rule called d-relaxed priority rule that captures the trade-off between total distance and vertex priorities. In this paper, the formulations from the literature are improved using valid inequalities and different formulations based on precedence variables are proposed. Computational results, based on data from the literature, are presented to demonstrate the competitiveness of the proposed approaches.
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spelling Formulations for the clustered traveling salesman problem with d-relaxed priority ruleFormulationsMixed integer programmingPrioritiesTraveling salesman problemIn the classical Traveling Salesman Problem, the order in which the vertices are visited has no restrictions. The only condition imposed is that each vertex is visited only once. In some real situations this condition may not be sufficient to represent the problem, as there are cases in which the vertex visit order becomes extremely important. In other words, it is also necessary to consider a priority between the vertices. To deal with these situations, some formulations are proposed in the literature and are based on a rule called d-relaxed priority rule that captures the trade-off between total distance and vertex priorities. In this paper, the formulations from the literature are improved using valid inequalities and different formulations based on precedence variables are proposed. Computational results, based on data from the literature, are presented to demonstrate the competitiveness of the proposed approaches.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Sao Paulo State University (Unesp) Institute of Biosciences Humanities and Exact Sciences Sao Jose do Rio Preto, Sao PauloSao Paulo State University (Unesp) Institute of Biosciences Humanities and Exact Sciences Sao Jose do Rio Preto, Sao PauloCNPq: 302998/2022-5CNPq: 305261/2018-5CNPq: 406335/2018-4Universidade Estadual Paulista (UNESP)dos Santos Teixeira, Eduardo [UNESP]de Araujo, Silvio Alexandre [UNESP]2025-04-29T18:41:37Z2024-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.cor.2023.106402Computers and Operations Research, v. 161.0305-0548https://hdl.handle.net/11449/29918010.1016/j.cor.2023.1064022-s2.0-85170428056Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComputers and Operations Researchinfo:eu-repo/semantics/openAccess2025-04-30T13:25:03Zoai:repositorio.unesp.br:11449/299180Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-04-30T13:25:03Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Formulations for the clustered traveling salesman problem with d-relaxed priority rule
title Formulations for the clustered traveling salesman problem with d-relaxed priority rule
spellingShingle Formulations for the clustered traveling salesman problem with d-relaxed priority rule
dos Santos Teixeira, Eduardo [UNESP]
Formulations
Mixed integer programming
Priorities
Traveling salesman problem
title_short Formulations for the clustered traveling salesman problem with d-relaxed priority rule
title_full Formulations for the clustered traveling salesman problem with d-relaxed priority rule
title_fullStr Formulations for the clustered traveling salesman problem with d-relaxed priority rule
title_full_unstemmed Formulations for the clustered traveling salesman problem with d-relaxed priority rule
title_sort Formulations for the clustered traveling salesman problem with d-relaxed priority rule
author dos Santos Teixeira, Eduardo [UNESP]
author_facet dos Santos Teixeira, Eduardo [UNESP]
de Araujo, Silvio Alexandre [UNESP]
author_role author
author2 de Araujo, Silvio Alexandre [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv dos Santos Teixeira, Eduardo [UNESP]
de Araujo, Silvio Alexandre [UNESP]
dc.subject.por.fl_str_mv Formulations
Mixed integer programming
Priorities
Traveling salesman problem
topic Formulations
Mixed integer programming
Priorities
Traveling salesman problem
description In the classical Traveling Salesman Problem, the order in which the vertices are visited has no restrictions. The only condition imposed is that each vertex is visited only once. In some real situations this condition may not be sufficient to represent the problem, as there are cases in which the vertex visit order becomes extremely important. In other words, it is also necessary to consider a priority between the vertices. To deal with these situations, some formulations are proposed in the literature and are based on a rule called d-relaxed priority rule that captures the trade-off between total distance and vertex priorities. In this paper, the formulations from the literature are improved using valid inequalities and different formulations based on precedence variables are proposed. Computational results, based on data from the literature, are presented to demonstrate the competitiveness of the proposed approaches.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-01
2025-04-29T18:41:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.cor.2023.106402
Computers and Operations Research, v. 161.
0305-0548
https://hdl.handle.net/11449/299180
10.1016/j.cor.2023.106402
2-s2.0-85170428056
url http://dx.doi.org/10.1016/j.cor.2023.106402
https://hdl.handle.net/11449/299180
identifier_str_mv Computers and Operations Research, v. 161.
0305-0548
10.1016/j.cor.2023.106402
2-s2.0-85170428056
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computers and Operations Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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