Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.4873
Fulltext available Open Access
Publisher DOI: 10.1016/j.omega.2022.102816
Title: Approximations for many-visits multiple traveling salesman problems
Language: English
Authors: Bérczi, Kristóf 
Mnich, Matthias  
Vincze, Roland  
Keywords: Traveling salesman; Many-agent scheduling; Aircraft sequencing
Issue Date: 2022
Publisher: Elsevier
Source: Omega - The International Journal of Management Science (2022)
Abstract (english): 
A fundamental variant of the classical traveling salesman problem (TSP) is the so-called multiple TSP (mTSP), where a set of m salesmen jointly visit all cities from a set of n cities. The mTSP models many important real-life applications, in particular for vehicle routing problems. An extensive survey by Bektas (Omega 34(3), 2006) lists a variety of heuristic and exact solution procedures for the mTSP, which quickly solve particular problem instances. In this work we consider a further generalization of mTSP, the many-visits mTSP, where each city v has a request r(v) of how many times it should be visited by the salesmen. This problem opens up new real-life applications such as aircraft sequencing, while at the same time it poses several computational challenges. We provide multiple efficient approximation algorithms for important variants of the many-visits mTSP, which are guaranteed to quickly compute high-quality solutions for all problem instances.
URI: http://hdl.handle.net/11420/14130
DOI: 10.15480/882.4873
ISSN: 1873-5274
Journal: Omega - The International Journal of Management Science 
Institute: Algorithmen und Komplexität E-11 
Document Type: Article
Project: Simultaneous approximation of multi-criteria optimization problems 
Funded by: Deutscher Akademischer Austauschdienst (DAAD) 
Peer Reviewed: Yes
License: In Copyright In Copyright
Is new version of: 10.15480/882.4524
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