Formulations for the clustered traveling salesman problem with d-relaxed priority rule
| Main Author: | |
|---|---|
| Publication Date: | 2024 |
| Other Authors: | |
| 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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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 |
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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 |
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Computers and Operations Research |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
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Universidade Estadual Paulista (UNESP) |
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UNESP |
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UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
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repositoriounesp@unesp.br |
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