• DocumentCode
    3024672
  • Title

    Damping the cavity-mode anti-resonances´ peaks on a power plane by swarm intelligence algorithms

  • Author

    Tripathi, Jai Narayan ; Chhabra, Nitin Kumar ; Nagpal, Raj Kumar ; Malik, Rakesh ; Mukherjee, Jayanta

  • Author_Institution
    Dept. of EE, IIT Bombay, Mumbai, India
  • fYear
    2012
  • fDate
    20-23 May 2012
  • Firstpage
    361
  • Lastpage
    364
  • Abstract
    Swarm intelligence is applied to a module of high speed system design problem. To maintain power integrity in a high speed system, an effective methodology for suppressing the cavity-mode anti-resonances´ peaks is presented. The optimal values and the optimal positions of the decoupling capacitors are found using three different swarm intelligence methods - particle swarm optimization, cuckoo search method and firefly algorithm. Optimum values and locations of decoupling capacitors are obtained, by which anti-resonances´ peaks of loaded board are minimized.
  • Keywords
    capacitors; integrated circuit modelling; particle swarm optimisation; power supply circuits; search problems; cavity mode antiresonance peaks; cuckoo search method; decoupling capacitors; firefly algorithm; high speed system design; particle swarm optimization; power integrity; power plane; swarm intelligence algorithms; Algorithm design and analysis; Capacitors; Cavity resonators; Impedance; Optimization; Particle swarm optimization; Upper bound; Cavity-Mode Anti-Resonances; Cuckoo Search Method; Decoupling Capacitor; Firefly Algorithm; Particle Swarm Optimization; Power Plane; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
  • Conference_Location
    Seoul
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-0218-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2012.6272036
  • Filename
    6272036