IDEAS home Printed from https://ideas.repec.org/a/igg/jamc00/v4y2013i4p23-45.html
   My bibliography  Save this article

A State-of-the-Art Review of Artificial Bee Colony in the Optimization of Single and Multiple Criteria

Author

Listed:
  • B. S. P. Mishra

    (School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India)

  • S. Dehuri

    (Department of Systems Engineering, Ajou University, Suwon, South Korea)

  • G.-N. Wang

    (Department of Industrial Engineering, Ajou University, Suwon, South Korea)

Abstract

Nowadays computers are used to solve a variety and multitude of complex problems facing in every sphere of peoples’ life. However, many of the problems are intractable in nature exact algorithm might need centuries to manage with formidable challenges. In such cases heuristic or in a broader sense meta-heuristic algorithms that find an approximate solution but have acceptable time and space complexity play indispensable role. In this article, the authors present a state-of-the-art review on meta-heuristic algorithm popularly known as artificial bee colony (ABC) inspired by honey bees. Moreover, the ABC algorithm for solving single and multi-objective optimization problems have been studied. A few potential application areas of ABC are highlighted as an end note of this article.

Suggested Citation

  • B. S. P. Mishra & S. Dehuri & G.-N. Wang, 2013. "A State-of-the-Art Review of Artificial Bee Colony in the Optimization of Single and Multiple Criteria," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 4(4), pages 23-45, October.
    • Handle: RePEc:igg:jamc00:v:4:y:2013:i:4:p:23-45
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijamc.2013100102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jamc00:v:4:y:2013:i:4:p:23-45. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.