IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v12y2025i9p2952-2963.html
   My bibliography  Save this article

Optimization of a Patch Antenna Using Genetic Algorithm

Author

Listed:
  • Nsed Ayip Akojom

    (Department of Physics University of Cross River State , Calabar)

  • Francis Linus Abeng

    (Department of Physics University of Cross River State , Calabar)

  • Anani Okoi Ikoi

    (Department of Physics University of Cross River State , Calabar)

Abstract

The optimization of a patch antenna in this work was done using Genetic Algorithm Optimization technique, which involves the use of evolutionary principles and techniques to search for the optimal design parameters that meets the desire performance characteristics. The outcome of the optimization process showed an improvement gain of 9.5 dβ, a reduction in returning loss of -30.2 dβ and Resonance frequency of 2.399GHz, which is close to the desire value of 2.4GHz needed for wireless communication applications. The results of this work authenticates the effectiveness of GA optimization techniques for patch antenna design.

Suggested Citation

  • Nsed Ayip Akojom & Francis Linus Abeng & Anani Okoi Ikoi, 2025. "Optimization of a Patch Antenna Using Genetic Algorithm," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(9), pages 2952-2963, August.
    • Handle: RePEc:bjc:journl:v:12:y:2025:i:9:p:2952-2963
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrsi/uploads/vol-iss-pg2952-2963-202510_pdf.pdf
    Download Restriction: no
    File URL: https://www.rsisinternational.org/journals/ijrsi/article.php?id=281
    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:bjc:journl:v:12:y:2025:i:9:p:2952-2963. 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: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrsi/ .

    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.