• DocumentCode
    2705014
  • Title

    Optimization schemes for scattering of periodic structures

  • Author

    Zhao, HuiLing ; Jiang, Dan ; Wu, Yajian ; Wan, Guobing

  • Author_Institution
    Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    27-29 Oct. 2009
  • Firstpage
    807
  • Lastpage
    810
  • Abstract
    Combining conventional radar absorbing material with periodic patch array structures, say frequency selective surface (FSS) type absorbers, have more freedom of degrees and so can be designed to be more efficient than the conventional radar absorbing material. In this paper, three optimization schemes such as parallel particle swarm optimization (PPSO), binary-coded genetic algorithm (BGA) and decimal-coded genetic algorithm (DGA) are investigated in the design of FSS type absorber. The goal functions are set up based on spectral moment method. Efficiency of three optimization schemes are compared each other. Numerical results showed that PPSO has a much better convergence than DGA and BGA.
  • Keywords
    binary codes; computational electromagnetics; electromagnetic wave scattering; frequency selective surfaces; genetic algorithms; method of moments; particle swarm optimisation; periodic structures; radar absorbing materials; radiowave propagation; binary coded genetic algorithm; decimal coded genetic algorithm; frequency selective surface; parallel particle swarm optimization; periodic structure scattering; spectral moment method; Algorithm design and analysis; Design optimization; Dissolved gas analysis; Frequency selective surfaces; Genetic algorithms; Moment methods; Particle scattering; Particle swarm optimization; Periodic structures; Radar scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009 3rd IEEE International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4076-4
  • Type

    conf

  • DOI
    10.1109/MAPE.2009.5355704
  • Filename
    5355704