IDEAS home Printed from https://ideas.repec.org/a/taf/tewaxx/v32y2018i13p1601-1615.html
   My bibliography  Save this article

A hybrid GA-PSO optimization algorithm for conformal antenna array pattern synthesis

Author

Listed:
  • Zhipeng Liang
  • Jun Ouyang
  • Feng Yang

Abstract

This paper introduces a hybrid genetic algorithm and particle swarm optimization algorithm (GA-PSO) dedicated to pattern synthesis of conformal antenna arrays. Taking advantages of both methods, the proposed hybrid GA-PSO optimization algorithm has fast convergence speed and high convergence accuracy when applied to antenna array pattern synthesis. To show the performance of the hybrid optimization algorithm, several typical test functions and optimization examples of a linear array pattern synthesis are illustrated. Finally, a 4 × 2 cylindrical conformal microstrip antenna array as a practical synthesis example is studied to demonstrate the proposed algorithm. The simulated and measured results have shown the proposed method is effective and reliable for conformal antenna array pattern synthesis.

Suggested Citation

  • Zhipeng Liang & Jun Ouyang & Feng Yang, 2018. "A hybrid GA-PSO optimization algorithm for conformal antenna array pattern synthesis," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 32(13), pages 1601-1615, September.
    • Handle: RePEc:taf:tewaxx:v:32:y:2018:i:13:p:1601-1615
    DOI: 10.1080/09205071.2018.1462257
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09205071.2018.1462257
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09205071.2018.1462257?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.

    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:taf:tewaxx:v:32:y:2018:i:13:p:1601-1615. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tewa .

    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.