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Open vehicle routing problem with driver nodes and time deadlines

Author

Listed:
  • D Aksen

    (Koç University)

  • Z Özyurt

    (Koç University)

  • N Aras

    (Boğaziçi University)

Abstract

In this paper, we consider a variant of the open vehicle routing problem in which vehicles depart from the depot, visit a set of customers, and end their routes at special nodes called driver nodes. A driver node can be the home of the driver or a parking lot where the vehicle will stay overnight. The resulting problem is referred to as the open vehicle routing problem with driver nodes (OVRP-d). We consider three classes of OVRP-d: with no time constraints, with a maximum route duration, and with both a maximum route duration as well as time deadlines for visiting customers. For the solution of these problems, which are not addressed previously in the literature, we develop a new tabu search heuristic. Computational results on randomly generated instances indicate that the new heuristic exhibits a good performance both in terms of the solution quality and computation time.

Suggested Citation

  • D Aksen & Z Özyurt & N Aras, 2007. "Open vehicle routing problem with driver nodes and time deadlines," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1223-1234, September.
  • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:9:d:10.1057_palgrave.jors.2602249
    DOI: 10.1057/palgrave.jors.2602249
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    References listed on IDEAS

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    1. L Y O Li & Z Fu, 2002. "The school bus routing problem: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(5), pages 552-558, May.
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    6. Z Fu & R Eglese & L Y O Li, 2005. "A new tabu search heuristic for the open vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(3), pages 267-274, March.
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    Cited by:

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    2. Perugia, Alessandro & Moccia, Luigi & Cordeau, Jean-François & Laporte, Gilbert, 2011. "Designing a home-to-work bus service in a metropolitan area," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1710-1726.

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