• DocumentCode
    1970277
  • Title

    An adaptive binary particle swarm optimization for evolvable hardware

  • Author

    Ping, Li ; Yu, Shi

  • Author_Institution
    Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-11 July 2010
  • Firstpage
    98
  • Lastpage
    101
  • Abstract
    Based on FPTA-2, an adaptive binary particle swarm optimization (ABPSO) is proposed to overcome the shortcomings of binary particle swarm optimization (BPSO). Two circuits, an amplifier and an integrator, are evolved to compare ABPSO with genetic algorithm (GA) and Hereboy. Simulation results show ABPSO is a simple and powerful algorithm, well suited for evolvable hardware. It not only has satisfying precision, but also can find better solutions at a greater probability.
  • Keywords
    genetic algorithms; particle swarm optimisation; programmable circuits; transistor circuits; FPTA-2; adaptive binary particle swarm optimization; evolvable hardware; genetic algorithm; Adaptation model; Hardware; Optimization; US Department of Defense; FPTA-2; amplifier; binary particle swarm optimization; evolvable hardware; integrator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (IIS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7860-6
  • Type

    conf

  • DOI
    10.1109/INDUSIS.2010.5565903
  • Filename
    5565903
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1970277