The target visitation arc routing problem

Jessica Rodríguez-Pereira, Gilbert Laporte

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1 Citation (SciVal)
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Abstract

This paper studies the target visitation arc routing problem on an undirected graph. This problem combines the well-known undirected rural postman problem and the linear ordering problem. In this problem, there is a set of required edges partitioned into targets, which must be traversed and there are pairwise preferences for the order in which some targets are serviced, which generates a revenue if the preference is satisfied. The aim is to find a tour that traverses all required edges at least once, and offers a compromise between the revenue generated by the order in which targets are serviced, and the routing cost of the tour. A linear integer programming formulation including some families of valid inequalities is proposed. Despite the difficulty of the problem, the model can be used to solve to optimality around 62% of the test instances.

Original languageEnglish
Pages (from-to)60-76
Number of pages17
JournalTOP
Volume30
Issue number1
Early online date4 May 2021
DOIs
Publication statusPublished - 30 Apr 2022

Bibliographical note

Funding Information:
Thanks are due to the referees for their valuable comments. This research was partially supported by the Spanish Ministry of Economy and Competitiveness through Grant MTM2015-63779-R (MINECO/FEDER), and by the Canadian Natural Sciences and Engineering Research Council under the Grant 2015-06189. This support is gratefully acknowledged.

Funding

Thanks are due to the referees for their valuable comments. This research was partially supported by the Spanish Ministry of Economy and Competitiveness through Grant MTM2015-63779-R (MINECO/FEDER), and by the Canadian Natural Sciences and Engineering Research Council under the Grant 2015-06189. This support is gratefully acknowledged.

Keywords

  • Arc routing
  • Linear ordering problem
  • Target visitation

ASJC Scopus subject areas

  • Modelling and Simulation
  • Discrete Mathematics and Combinatorics
  • Management Science and Operations Research
  • Information Systems and Management

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