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Solving the Mixed Backhauling Vehicle Routing: Problem with Ants

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Listed:
  • Niaz A. Wassan

    (Center for Logistics and Heuristics Optimization, Kent Business School, University of Kent, Canterbury, Kent, UK)

  • Said Salhi

    (Center for Logistics and Heuristics Optimization, Kent Business School, University of Kent, Canterbury, Kent, UK)

  • Gábor Nagy

    (Center for Logistics and Heuristics Optimization, Kent Business School, University of Kent, Canterbury, Kent, UK)

  • Naveed Wassan

    (Center for Logistics and Heuristics Optimization, Kent Business School, University of Kent, Canterbury, Kent, UK)

  • Anne C. Wade

    (BAE Systems, Insyte, Filton, UK)

Abstract

The mixed vehicle routing problem with backhauls is investigated using ant system heuristic. This distribution problem seems to suffer from a lack of published work even though it has immense practical applicability especially within logistic systems. Some enhancements to the basic ant system algorithm are embedded into the search. In particular a focus is on the choice in the placement of ants, the use of site-dependent candidate list, the introduction of a look ahead-based visibility, and appropriate strategies for updating local and global trails. Encouraging computational results are reported when tested on benchmark data sets.

Suggested Citation

  • Niaz A. Wassan & Said Salhi & Gábor Nagy & Naveed Wassan & Anne C. Wade, 2013. "Solving the Mixed Backhauling Vehicle Routing: Problem with Ants," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 2(2), pages 62-77, April.
    • Handle: RePEc:igg:jeoe00:v:2:y:2013:i:2:p:62-77
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    Cited by:

    1. Maria João Santos & Pedro Amorim & Alexandra Marques & Ana Carvalho & Ana Póvoa, 2020. "The vehicle routing problem with backhauls towards a sustainability perspective: a review," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 358-401, July.
    2. Henriette Koch & Maximilian Schlögell & Andreas Bortfeldt, 2020. "A hybrid algorithm for the vehicle routing problem with three-dimensional loading constraints and mixed backhauls," Journal of Scheduling, Springer, vol. 23(1), pages 71-93, February.
    3. Gribkovskaia, Irina & Halskau, Oyvind & Kovalyov, Mikhail Y., 2015. "Minimizing takeoff and landing risk in helicopter pickup and delivery operations," Omega, Elsevier, vol. 55(C), pages 73-80.

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