IDEAS home Printed from https://ideas.repec.org/a/ids/ijenma/v5y2012i3p272-280.html
   My bibliography  Save this article

Intelligent genetic algorithms in the optimisation of a PIFA antenna using hybridised fitness characterisation and clustering

Author

Listed:
  • Mohammad Riyad Ameerudden
  • Harry Coomar Shumsher Rughooputh

Abstract

With the exponential development of mobile communications and the miniaturisation of radio frequency transceivers, the need for small and low profile antennas at mobile frequencies is constantly growing. Therefore, new antennas should be developed to provide both larger bandwidth and small dimensions. This paper seeks to investigate the performance an intelligent optimisation technique using a hybridised genetic algorithms (GA) coupled with the intelligence of the binary string fitness characterisation (BSFC) technique. The aim of this project is to design and optimise the bandwidth of a planar inverted-F antenna (PIFA) in order to achieve a larger bandwidth in the 2 GHz band. The optimisation process has been enhanced by using a clustering algorithm to minimise the computational cost. The convergence pattern was compared with the particle swarm optimisation (PSO) technique. During the optimisation process, the different PIFA models are evaluated using the finite-difference time domain (FDTD) method.

Suggested Citation

  • Mohammad Riyad Ameerudden & Harry Coomar Shumsher Rughooputh, 2012. "Intelligent genetic algorithms in the optimisation of a PIFA antenna using hybridised fitness characterisation and clustering," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 5(3), pages 272-280.
    • Handle: RePEc:ids:ijenma:v:5:y:2012:i:3:p:272-280
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=51311
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijenma:v:5:y:2012:i:3:p:272-280. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=187 .

    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.