IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v53y2002i3d10.1057_palgrave.jors.2601312.html
   My bibliography  Save this article

Genetic algorithms for the bus driver scheduling problem: a case study

Author

Listed:
  • T G Dias

    (Universidade do Porto/INEGI)

  • J P de Sousa

    (Universidade do Porto/INEGI)

  • J F Cunha

    (Universidade do Porto/INEGI)

Abstract

This paper describes an application of genetic algorithms to the bus driver scheduling problem. The application of genetic algorithms extends the traditional approach of Set Covering/Set Partitioning formulations, allowing the simultaneous consideration of several complex criteria. The genetic algorithm is integrated in a DSS but can be used as a very interactive tool or a stand-alone application. It incorporates the user's knowledge in a quite natural way and produces solutions that are almost directly implemented by the transport companies in their operational planning processes. Computational results with airline and bus crew scheduling problems from real world companies are presented and discussed.

Suggested Citation

  • T G Dias & J P de Sousa & J F Cunha, 2002. "Genetic algorithms for the bus driver scheduling problem: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(3), pages 324-335, March.
    • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:3:d:10.1057_palgrave.jors.2601312
    DOI: 10.1057/palgrave.jors.2601312
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601312
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2601312?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. Shen, Yindong & Peng, Kunkun & Chen, Kai & Li, Jingpeng, 2013. "Evolutionary crew scheduling with adaptive chromosomes," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 174-185.
    2. Ibarra-Rojas, O.J. & Delgado, F. & Giesen, R. & Muñoz, J.C., 2015. "Planning, operation, and control of bus transport systems: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 38-75.
    3. Zwick, Felix & Kuehnel, Nico & Hörl, Sebastian, 2022. "Shifts in perspective: Operational aspects in (non-)autonomous ride-pooling simulations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 300-320.

    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:pal:jorsoc:v:53:y:2002:i:3:d:10.1057_palgrave.jors.2601312. 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.palgrave-journals.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.