IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/912056.html
   My bibliography  Save this article

A Cooperative Coevolutionary Cuckoo Search Algorithm for Optimization Problem

Author

Listed:
  • Hongqing Zheng
  • Yongquan Zhou

Abstract

Taking inspiration from an organizational evolutionary algorithm for numerical optimization, this paper designs a kind of dynamic population and combining evolutionary operators to form a novel algorithm, a cooperative coevolutionary cuckoo search algorithm (CCCS), for solving both unconstrained, constrained optimization and engineering problems. A population of this algorithm consists of organizations, and an organization consists of dynamic individuals. In experiments, fifteen unconstrained functions, eleven constrained functions, and two engineering design problems are used to validate the performance of CCCS, and thorough comparisons are made between the CCCS and the existing approaches. The results show that the CCCS obtains good performance in the solution quality. Moreover, for the constrained problems, the good performance is obtained by only incorporating a simple constraint handling technique into the CCCS. The results show that the CCCS is quite robust and easy to use.

Suggested Citation

  • Hongqing Zheng & Yongquan Zhou, 2013. "A Cooperative Coevolutionary Cuckoo Search Algorithm for Optimization Problem," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-9, August.
    • Handle: RePEc:hin:jnljam:912056
    DOI: 10.1155/2013/912056
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/JAM/2013/912056.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/JAM/2013/912056.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/912056?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
    ---><---

    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:hin:jnljam:912056. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.