IDEAS home Printed from https://ideas.repec.org/a/ids/ijscom/v2y2016i1p50-66.html
   My bibliography  Save this article

ABC algorithm with bees having quantum behaviour for constrained optimisation

Author

Listed:
  • Lin Cheng
  • Hailian Dong
  • Qingzhen Zhang
  • Zhenghong Liu

Abstract

An adaptation of classical artificial bee colony (ABC) algorithm based on imitating the foraging behaviour of honey bees is presented for constrained numerical optimisation problems. The modifications focus on improving the operator of candidate food sources updating by using a quantum delta potential well model. The well model described the behaviour of bees in a quantum multi-dimensional space and realises quick convergence of algorithm because of available food sources information utilisation. Furthermore, two dynamic tolerances changing in exponential form are introduced to help the honeybee colony converge around the feasible region. Finally, a general mechanism of selection probability which associates with the fitness of food source is proposed. The new algorithm called QABC is tested on a set of 13 benchmark constrained non-linear optimisation problems (CNOPs) and the comparison against the original algorithm and some state-of-the-art algorithms gives the reasons for the modification.

Suggested Citation

  • Lin Cheng & Hailian Dong & Qingzhen Zhang & Zhenghong Liu, 2016. "ABC algorithm with bees having quantum behaviour for constrained optimisation," International Journal of Service and Computing Oriented Manufacturing, Inderscience Enterprises Ltd, vol. 2(1), pages 50-66.
  • Handle: RePEc:ids:ijscom:v:2:y:2016:i:1:p:50-66
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=75405
    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.

    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:ijscom:v:2:y:2016:i:1:p:50-66. 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=376 .

    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.