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A compact transformation of arc routing problems into node routing problems

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  • Les Foulds
  • Humberto Longo
  • Jean Martins

Abstract

We describe a compact method to transform arc routing problem instances into node routing problem instances. Any node routing problem instance thus created must be solved by a branch-and-price process, such as the one described in this paper. The purpose is to make the number of nodes in the resulting transformed graphs greater by only one unit than the number $$r$$ r of required arcs (arcs having demand) in the original graph, that is, $$r+1$$ r + 1 nodes. This low increase in the number of nodes represents an improvement compared to the methods previously presented by Pearn, Assad and Golden ( $$3r+1$$ 3 r + 1 nodes) and by Longo, Poggi de Aragão and Uchoa and also by Baldacci and Maniezzo ( $$2r+1$$ 2 r + 1 nodes). Using an adapted version of an existing branch-cut-and-price algorithm for a capacitated node routing problem on the transformed graph results in an effective approach for a capacitated arc routing problem. Computational experiments using this approach produced useful lower bounds in reasonable computational time for many challenging numerical instances from the literature. Additionally, some such previously open instances were solved to optimality for the first time. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Les Foulds & Humberto Longo & Jean Martins, 2015. "A compact transformation of arc routing problems into node routing problems," Annals of Operations Research, Springer, vol. 226(1), pages 177-200, March.
    • Handle: RePEc:spr:annopr:v:226:y:2015:i:1:p:177-200:10.1007/s10479-014-1732-1
    DOI: 10.1007/s10479-014-1732-1
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    References listed on IDEAS

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    Cited by:

    1. Diego Pecin & Eduardo Uchoa, 2019. "Comparative Analysis of Capacitated Arc Routing Formulations for Designing a New Branch-Cut-and-Price Algorithm," Transportation Science, INFORMS, vol. 53(6), pages 1673-1694, November.
    2. Erfan Babaee Tirkolaee & Alireza Goli & Selma Gütmen & Gerhard-Wilhelm Weber & Katarzyna Szwedzka, 2023. "A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms," Annals of Operations Research, Springer, vol. 324(1), pages 189-214, May.
    3. Merve Cengiz Toklu, 2023. "A fuzzy multi-criteria approach based on Clarke and Wright savings algorithm for vehicle routing problem in humanitarian aid distribution," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2241-2261, June.
    4. Zhang, Guowei & Jia, Ning & Zhu, Ning & Adulyasak, Yossiri & Ma, Shoufeng, 2023. "Robust drone selective routing in humanitarian transportation network assessment," European Journal of Operational Research, Elsevier, vol. 305(1), pages 400-428.

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