An integer programming approach for the time-dependent traveling salesman problem with time windows
Congestion in large cities and populated areas is one of the major challenges in urban logistics, and should be addressed at different planning and operational levels. The Time Dependent Travelling Salesman Problem (TDTSP) is a generalization of the well known Traveling Salesman Problem (TSP) where...
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03050548_v88_n_p280_Montero http://hdl.handle.net/20.500.12110/paper_03050548_v88_n_p280_Montero |
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paper:paper_03050548_v88_n_p280_Montero2023-06-08T15:30:27Z An integer programming approach for the time-dependent traveling salesman problem with time windows Branch-and-Cut Integer linear programming Time windows Time-dependent TSP Benchmarking Integer programming Branch and cut Integer Linear Programming Integer linear programming models Operational level Time dependent Time windows Time-dependent traveling salesman Travelling salesman problem Traveling salesman problem Congestion in large cities and populated areas is one of the major challenges in urban logistics, and should be addressed at different planning and operational levels. The Time Dependent Travelling Salesman Problem (TDTSP) is a generalization of the well known Traveling Salesman Problem (TSP) where the travel times are not assumed to be constant along the day. The motivation to consider the time dependency factor is that it enables to have better approximations to many problems arising from practice. In this paper, we consider the Time-Dependent Traveling Salesman Problem with Time Windows (TDTSP-TW), where the time dependence is captured by considering variable average travel speeds. We propose an Integer Linear Programming model for the problem and develop an exact algorithm, which is compared on benchmark instances with another approach from the related literature. The results show that the approach is able to solve instances with up to 40 customers. © 2017 Elsevier Ltd 2017 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03050548_v88_n_p280_Montero http://hdl.handle.net/20.500.12110/paper_03050548_v88_n_p280_Montero |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Branch-and-Cut Integer linear programming Time windows Time-dependent TSP Benchmarking Integer programming Branch and cut Integer Linear Programming Integer linear programming models Operational level Time dependent Time windows Time-dependent traveling salesman Travelling salesman problem Traveling salesman problem |
spellingShingle |
Branch-and-Cut Integer linear programming Time windows Time-dependent TSP Benchmarking Integer programming Branch and cut Integer Linear Programming Integer linear programming models Operational level Time dependent Time windows Time-dependent traveling salesman Travelling salesman problem Traveling salesman problem An integer programming approach for the time-dependent traveling salesman problem with time windows |
topic_facet |
Branch-and-Cut Integer linear programming Time windows Time-dependent TSP Benchmarking Integer programming Branch and cut Integer Linear Programming Integer linear programming models Operational level Time dependent Time windows Time-dependent traveling salesman Travelling salesman problem Traveling salesman problem |
description |
Congestion in large cities and populated areas is one of the major challenges in urban logistics, and should be addressed at different planning and operational levels. The Time Dependent Travelling Salesman Problem (TDTSP) is a generalization of the well known Traveling Salesman Problem (TSP) where the travel times are not assumed to be constant along the day. The motivation to consider the time dependency factor is that it enables to have better approximations to many problems arising from practice. In this paper, we consider the Time-Dependent Traveling Salesman Problem with Time Windows (TDTSP-TW), where the time dependence is captured by considering variable average travel speeds. We propose an Integer Linear Programming model for the problem and develop an exact algorithm, which is compared on benchmark instances with another approach from the related literature. The results show that the approach is able to solve instances with up to 40 customers. © 2017 Elsevier Ltd |
title |
An integer programming approach for the time-dependent traveling salesman problem with time windows |
title_short |
An integer programming approach for the time-dependent traveling salesman problem with time windows |
title_full |
An integer programming approach for the time-dependent traveling salesman problem with time windows |
title_fullStr |
An integer programming approach for the time-dependent traveling salesman problem with time windows |
title_full_unstemmed |
An integer programming approach for the time-dependent traveling salesman problem with time windows |
title_sort |
integer programming approach for the time-dependent traveling salesman problem with time windows |
publishDate |
2017 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03050548_v88_n_p280_Montero http://hdl.handle.net/20.500.12110/paper_03050548_v88_n_p280_Montero |
_version_ |
1768543609155485696 |