IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v130y2004i1p199-21610.1023-banor.0000032576.73681.29.html
   My bibliography  Save this article

Solving VRPTWs with Constraint Programming Based Column Generation

Author

Listed:
  • Louis-Martin Rousseau
  • Michel Gendreau
  • Gilles Pesant
  • Filippo Focacci

Abstract

Constraint programming based column generation is a hybrid optimization framework recently proposed (Junker et al., 1999) that uses constraint programming to solve column generation subproblems. In the past, this framework has been used to solve scheduling problems where the associated graph is naturally acyclic and has done so very efficiently. This paper attempts to solve problems whose graph is cyclic by nature, such as routing problems, by solving the elementary shortest path problem with constraint programming. We also introduce new redundant constraints which can be useful in the general framework. The experimental results are comparable to those of the similar method in the literature (Desrochers, Desrosiers, and Solomon, 1992) but the proposed method yields a much more flexible approach. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Louis-Martin Rousseau & Michel Gendreau & Gilles Pesant & Filippo Focacci, 2004. "Solving VRPTWs with Constraint Programming Based Column Generation," Annals of Operations Research, Springer, vol. 130(1), pages 199-216, August.
    • Handle: RePEc:spr:annopr:v:130:y:2004:i:1:p:199-216:10.1023/b:anor.0000032576.73681.29
    DOI: 10.1023/B:ANOR.0000032576.73681.29
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/B:ANOR.0000032576.73681.29
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/B:ANOR.0000032576.73681.29?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Drexl, Michael, 2013. "Applications of the vehicle routing problem with trailers and transshipments," European Journal of Operational Research, Elsevier, vol. 227(2), pages 275-283.
    2. Qin, Tianbao & Du, Yuquan & Sha, Mei, 2016. "Evaluating the solution performance of IP and CP for berth allocation with time-varying water depth," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 167-185.
    3. Maryam Daryalal & Hamed Pouya & Marc Antoine DeSantis, 2023. "Network Migration Problem: A Hybrid Logic-Based Benders Decomposition Approach," INFORMS Journal on Computing, INFORMS, vol. 35(3), pages 593-613, May.
    4. Pawel Sitek & Jarosław Wikarek, 2019. "Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach," Annals of Operations Research, Springer, vol. 273(1), pages 257-277, February.
    5. Stefano Gualandi & Federico Malucelli, 2012. "Exact Solution of Graph Coloring Problems via Constraint Programming and Column Generation," INFORMS Journal on Computing, INFORMS, vol. 24(1), pages 81-100, February.
    6. L Tansini & O Viera, 2006. "New measures of proximity for the assignment algorithms in the MDVRPTW," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(3), pages 241-249, March.
    7. Gerardo Berbeglia & Gilles Pesant & Louis-Martin Rousseau, 2011. "Checking the Feasibility of Dial-a-Ride Instances Using Constraint Programming," Transportation Science, INFORMS, vol. 45(3), pages 399-412, August.
    8. Niu, Huimin & Zhou, Xuesong & Tian, Xiaopeng, 2018. "Coordinating assignment and routing decisions in transit vehicle schedules: A variable-splitting Lagrangian decomposition approach for solution symmetry breaking," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 70-101.
    9. Cortés, Cristián E. & Gendreau, Michel & Rousseau, Louis Martin & Souyris, Sebastián & Weintraub, Andrés, 2014. "Branch-and-price and constraint programming for solving a real-life technician dispatching problem," European Journal of Operational Research, Elsevier, vol. 238(1), pages 300-312.
    10. Stefano Gualandi & Federico Malucelli, 2013. "Constraint Programming-based Column Generation," Annals of Operations Research, Springer, vol. 204(1), pages 11-32, April.
    11. Leonardo Lozano & Daniel Duque & Andrés L. Medaglia, 2016. "An Exact Algorithm for the Elementary Shortest Path Problem with Resource Constraints," Transportation Science, INFORMS, vol. 50(1), pages 348-357, February.
    12. Luciano Costa & Claudio Contardo & Guy Desaulniers, 2019. "Exact Branch-Price-and-Cut Algorithms for Vehicle Routing," Transportation Science, INFORMS, vol. 53(4), pages 946-985, July.
    13. Axel Parmentier, 2019. "Algorithms for non-linear and stochastic resource constrained shortest path," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 89(2), pages 281-317, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:130:y:2004:i:1:p:199-216:10.1023/b:anor.0000032576.73681.29. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.