IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/832718.html
   My bibliography  Save this article

Self-Adaptive Step Firefly Algorithm

Author

Listed:
  • Shuhao Yu
  • Shanlin Yang
  • Shoubao Su

Abstract

In the standard firefly algorithm, each firefly has the same step settings and its values decrease from iteration to iteration. Therefore, it may fall into the local optimum. Furthermore, the decreasing of step is restrained by the maximum of iteration, which has an influence on the convergence speed and precision. In order to avoid falling into the local optimum and reduce the impact of the maximum of iteration, a self-adaptive step firefly algorithm is proposed in the paper. Its core idea is setting the step of each firefly varying with the iteration, according to each firefly’s historical information and current situation. Experiments are made to show the performance of our approach compared with the standard FA, based on sixteen standard testing benchmark functions. The results reveal that our method can prevent the premature convergence and improve the convergence speed and accurateness.

Suggested Citation

  • Shuhao Yu & Shanlin Yang & Shoubao Su, 2013. "Self-Adaptive Step Firefly Algorithm," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-8, November.
    • Handle: RePEc:hin:jnljam:832718
    DOI: 10.1155/2013/832718
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/JAM/2013/832718.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/JAM/2013/832718.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/832718?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:832718. 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.