• DocumentCode
    2510670
  • Title

    Sizing consideration for leakage control transistor

  • Author

    Farbiz, F. ; Farazian, M. ; Emadi, M. ; Sadeghi, K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tehran Univ., Iran
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    639
  • Lastpage
    641
  • Abstract
    In this paper, we report the use of the Genetic Algorithm (GA) to determine the optimum size of the leakage control transistor for low power applications. In the optimization, the energy-delay product is minimized. The transistor is modeled by a neural network to increase the speed and the accuracy of the calculations.
  • Keywords
    circuit optimisation; genetic algorithms; leakage currents; low-power electronics; multilayer perceptrons; transistors; energy delay product; genetic algorithms; leakage control transistor; low-power electronics; neural network; optimization; Automatic control; Circuit simulation; Delay; Iterative algorithms; Leakage current; Neural networks; SPICE; Threshold voltage; Transistors; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Design, 2004. Proceedings. 17th International Conference on
  • Print_ISBN
    0-7695-2072-3
  • Type

    conf

  • DOI
    10.1109/ICVD.2004.1260992
  • Filename
    1260992