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Artículo

An integer programming approach for the time-dependent traveling salesman problem with time windows

Montero, Agustin IsmaelIcon ; Méndez Díaz, Isabel; Miranda Bront, Juan JoseIcon
Fecha de publicación: 12/2017
Editorial: Pergamon-Elsevier Science Ltd
Revista: Computers & Operations Research
ISSN: 0305-0548
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ciencias de la Computación

Resumen

Congestion in large cities and populated areas is one of the major challenges in urban logistics, andshould be addressed at different planning and operational levels. The Time Dependent Travelling Sales-man Problem (TDTSP) is a generalization of the well known Traveling Salesman Problem (TSP) where thetravel 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.
Palabras clave: Time-Dependent Tsp , Time Windows , Integer Linear Programming , Branch-And-Cut
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/41372
DOI: http://dx.doi.org/10.1016/j.cor.2017.06.026
URL: https://www.sciencedirect.com/science/article/pii/S0305054817301612
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Citación
Montero, Agustin Ismael; Méndez Díaz, Isabel; Miranda Bront, Juan Jose; An integer programming approach for the time-dependent traveling salesman problem with time windows; Pergamon-Elsevier Science Ltd; Computers & Operations Research; 88; 12-2017; 280-289
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