IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v9y2018i1d10.1007_s13198-016-0534-z.html
   My bibliography  Save this article

ssFPA/DE: an efficient hybrid differential evolution–flower pollination algorithm based approach

Author

Listed:
  • Meera Ramadas

    (AIIT, Amity University)

  • Millie Pant

    (Indian Institute of Technology)

  • Ajith Abraham

    (MIR Labs)

  • Sushil Kumar

    (CSE, ASET, Amity University)

Abstract

Evolutionary algorithm is a field of great interest to many researchers around the world. New algorithms are developed based on biological processes that exist in nature. In addition, different variants of the existing algorithms are also created with researchers working to find the most optimal method. This paper initially introduces Differential Evolution (DE) and Flower Pollination Algorithm (FPA). Subsequently, a description of the hybrid algorithm named ssFPA/DE that uses the search strategy of FPA and DE are explained along with their results.

Suggested Citation

  • Meera Ramadas & Millie Pant & Ajith Abraham & Sushil Kumar, 2018. "ssFPA/DE: an efficient hybrid differential evolution–flower pollination algorithm based approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(1), pages 216-229, February.
    • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:1:d:10.1007_s13198-016-0534-z
    DOI: 10.1007/s13198-016-0534-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-016-0534-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-016-0534-z?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
    ---><---

    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:spr:ijsaem:v:9:y:2018:i:1:d:10.1007_s13198-016-0534-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.