• DocumentCode
    3337024
  • Title

    Multi objective optimization of a LNA using genetic algorithm based on NSGA-II

  • Author

    Fallahpour, M.B. ; Hemmati, K.D. ; Pourmohammad, Ali ; Golmakani, Abbas

  • Author_Institution
    Young Researcher Club, Lahijan Islamic Azad Univ., Mashhad, Iran
  • fYear
    2011
  • fDate
    17-19 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper an accurate method is presented for determining of the device sizes in a RF circuit based on genetic algorithm (GA). HSPICE RF simulation is used for evaluating of the fitness of the circuit specifications per every iteration of the GA. Also an example for a LNA is presented for evaluating of non-dominated sorting genetic algorithm (NSGA-II) as a method of multi objective genetic algorithm optimization. Simulation results confirm efficiency of the GA for determining of the devices sizes and optimization in a RF circuit.
  • Keywords
    SPICE; genetic algorithms; low noise amplifiers; HSPICE RF simulation; LNA; NSGA-II; RF circuit; circuit specifications; multi objective optimization; nondominated sorting genetic algorithm; CMOS integrated circuits; Genetic algorithms; Integrated circuit modeling; Noise; Noise figure; Optimization; Radio frequency; Genetic Algorithm (GA); LNA; NSGA II;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Informatics (ICEEI), 2011 International Conference on
  • Conference_Location
    Bandung
  • ISSN
    2155-6822
  • Print_ISBN
    978-1-4577-0753-7
  • Type

    conf

  • DOI
    10.1109/ICEEI.2011.6021675
  • Filename
    6021675