• DocumentCode
    1900911
  • Title

    Wind Driven Optimization (WDO): A novel nature-inspired optimization algorithm and its application to electromagnetics

  • Author

    Bayraktar, Zikri ; Komurcu, Muge ; Werner, Douglas H.

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2010
  • fDate
    11-17 July 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper introduces a novel nature-inspired global optimization technique, which we call Wind Driven Optimization. WDO is a population based iterative global optimization method, where the velocity and the position of wind controlled air parcels are updated based on the physical equations that govern atmospheric motion. The effectiveness of WDO as a tool in optimization problems is first shown with its performance on benchmark functions and then with its application to optimizing the design for a thin double-sided AMC surface at 10 GHz.
  • Keywords
    electromagnetism; optimisation; atmospheric motion; double-sided AMC surface; electromagnetics; frequency 10 GHz; iterative global optimization method; nature-inspired optimization algorithm; wind driven optimization; Atmosphere; Electromagnetics; Equations; Force; Frequency selective surfaces; Meteorology; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2010 IEEE
  • Conference_Location
    Toronto, ON
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4244-4967-5
  • Type

    conf

  • DOI
    10.1109/APS.2010.5562213
  • Filename
    5562213