• DocumentCode
    241952
  • Title

    Metaheuristics for design of metal-only reflectarray (MOR) antenna

  • Author

    Seungkyun Lim ; Sangwook Lee ; Yong Heui Cho ; Yongjun Hong ; Joonho So

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Mokwon Univ., Daejeon, South Korea
  • fYear
    2014
  • fDate
    6-11 April 2014
  • Firstpage
    1929
  • Lastpage
    1931
  • Abstract
    A metal-only reflectarray (MOR) antenna was proposed for the millimeter-wave applications. The MOR antenna has low-profile, ease of fabrication, and high gain characteristics. In this paper, we use three kinds of metaheuristics which are genetic algorithms (GA), particle swarm optimization (PSO) and differential evolution (DE) to design a high gain MOR antenna. To improve the performance, we insert a local search scheme into metaheuristics. Local search optimizations for the 77GHz MOR antenna with 2.2cm diameter were performed by applying the GA, PSO, and DE. Simulated results show that the GA, PSO, and DE with a local search have better performance to improve the antenna gain and aperture efficiency of a MOR antenna.
  • Keywords
    genetic algorithms; millimetre wave antenna arrays; particle swarm optimisation; reflectarray antennas; search problems; DE; GA; MOR design; PSO; differential evolution; frequency 77 GHz; genetic algorithms; high gain MOR antenna; local search optimization scheme; metaheuristics; metal-only reflectarray antenna design; millimeter-wave antenna; particle swarm optimization; size 2.2 cm; Algorithm design and analysis; Genetic algorithms; Millimeter wave technology; Reflector antennas; Vectors; local search; metaheuristics; reflectarray antenna;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2014 8th European Conference on
  • Conference_Location
    The Hague
  • Type

    conf

  • DOI
    10.1109/EuCAP.2014.6902178
  • Filename
    6902178