• DocumentCode
    3766437
  • Title

    Multi-objective particle swarm optimization for the realization of a low profile bandpass frequency selective surface

  • Author

    Ali Lalbakhsh;Muhammad U. Afzal;Karu P. Esselle;Basit A. Zeb

  • Author_Institution
    Centre for Collaboration in Electromagnetic and Antenna Engineering, Department of Engineering, Macquarie University, Sydney, New South Wales-2109, Australia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a new application of evolutionary optimization algorithm to design an extremely low profile bandpass frequency selective surface (FSS). A particle swarm optimization algorithm is interfaced with a commercial time-domain solver to design and optimize a second-order bandpass FSS at 10 GHz with 20% fractional bandwidth. Four structure variables are defined in the algorithm to be optimized for realization of a grid of capacitive patches and inductive strips, which constitute the bandpass FSS. Optimization led to a FSS with a total thickness of λo/65.
  • Keywords
    "Frequency selective surfaces","Algorithm design and analysis","Particle swarm optimization","Optimization","Substrates","Integrated circuit modeling"
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (ISAP), 2015 International Symposium
  • Type

    conf

  • Filename
    7447507
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3766437