IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v118y2003i1p121-13510.1023-a1021857607524.html
   My bibliography  Save this article

Applying an Extended Guided Local Search to the Quadratic Assignment Problem

Author

Listed:
  • Patrick Mills
  • Edward Tsang
  • John Ford

Abstract

In this paper, we show how an extended Guided Local Search (GLS) can be applied to the Quadratic Assignment Problem (QAP). GLS is a general, penalty-based meta-heuristic, which sits on top of local search algorithms, to help guide them out of local minima. We present empirical results of applying several extended versions of GLS to the QAP, and show that these extensions can improve the range of parameter settings within which Guided Local Search performs well. Finally, we compare the results of running our extended GLS with some state of the art algorithms for the QAP. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • Patrick Mills & Edward Tsang & John Ford, 2003. "Applying an Extended Guided Local Search to the Quadratic Assignment Problem," Annals of Operations Research, Springer, vol. 118(1), pages 121-135, February.
    • Handle: RePEc:spr:annopr:v:118:y:2003:i:1:p:121-135:10.1023/a:1021857607524
    DOI: 10.1023/A:1021857607524
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1021857607524
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1021857607524?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. Loiola, Eliane Maria & de Abreu, Nair Maria Maia & Boaventura-Netto, Paulo Oswaldo & Hahn, Peter & Querido, Tania, 2007. "A survey for the quadratic assignment problem," European Journal of Operational Research, Elsevier, vol. 176(2), pages 657-690, January.
    2. Pritibhushan Sinha, 2009. "Assignment problems with changeover cost," Annals of Operations Research, Springer, vol. 172(1), pages 447-457, November.
    3. Edward Tsang & John Ford & Patrick Mills & Richard Bradwell & Richard Williams & Paul Scott, 2007. "Towards a practical engineering tool for rostering," Annals of Operations Research, Springer, vol. 155(1), pages 257-277, November.
    4. Zakir Hussain Ahmed, 2016. "Experimental analysis of crossover and mutation operators on the quadratic assignment problem," Annals of Operations Research, Springer, vol. 247(2), pages 833-851, December.
    5. Jean-François Côté & Michel Gendreau & Jean-Yves Potvin, 2020. "The Vehicle Routing Problem with Stochastic Two-Dimensional Items," Transportation Science, INFORMS, vol. 54(2), pages 453-469, March.
    6. Vansteenwegen, Pieter & Souffriau, Wouter & Berghe, Greet Vanden & Oudheusden, Dirk Van, 2009. "A guided local search metaheuristic for the team orienteering problem," European Journal of Operational Research, Elsevier, vol. 196(1), pages 118-127, July.
    7. Hani, Y. & Amodeo, L. & Yalaoui, F. & Chen, H., 2007. "Ant colony optimization for solving an industrial layout problem," European Journal of Operational Research, Elsevier, vol. 183(2), pages 633-642, December.

    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:118:y:2003:i:1:p:121-135:10.1023/a:1021857607524. 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.