IDEAS home Printed from https://ideas.repec.org/a/ids/ijmore/v1y2009i4p456-475.html
   My bibliography  Save this article

A genetic ant colony optimisation system (GenANT) for quadratic assignment problems

Author

Listed:
  • Kuan Yew Wong
  • Phen Chiak See

Abstract

In recent years, various metaheuristic approaches have been created to solve quadratic assignment problems (QAPs). Among others is the ant colony optimisation (ACO) algorithm, which was inspired by the foraging behaviour of ants. Although it has solved some QAPs successfully, it still contains some weaknesses and is unable to solve large QAP instances effectively. Thereafter, various suggestions have been made to improve the performance of the ACO algorithm. One of them is to hybridise ACO with other metaheuristic algorithms. Particularly, there is an increasing interest to hybridise ACO with genetic algorithm (GA) to obtain better search performance. This article introduces a new hybrid ACO algorithm known as GenANT, which combines the max-min ant system (MMAS; i.e. a type of ACO algorithm) with GA to solve QAPs. A novel minimum pheromone threshold strategy is also introduced to enhance the collaboration between MMAS and GA. An experimental evaluation on the performance of GenANT is presented at the end of the article following by conclusions.

Suggested Citation

  • Kuan Yew Wong & Phen Chiak See, 2009. "A genetic ant colony optimisation system (GenANT) for quadratic assignment problems," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 1(4), pages 456-475.
    • Handle: RePEc:ids:ijmore:v:1:y:2009:i:4:p:456-475
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=26277
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Komarudin & Wong, Kuan Yew, 2010. "Applying Ant System for solving Unequal Area Facility Layout Problems," European Journal of Operational Research, Elsevier, vol. 202(3), pages 730-746, May.

    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:ids:ijmore:v:1:y:2009:i:4:p:456-475. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=320 .

    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.