• DocumentCode
    285764
  • Title

    A genetic gate matrix layout algorithm [CMOS circuits]

  • Author

    Kotliar, Michael ; Tabtieng, Thepthai

  • Author_Institution
    Dept. of Electr. Eng., Tufts Univ., Medford, MA, USA
  • Volume
    5
  • fYear
    1992
  • fDate
    10-13 May 1992
  • Firstpage
    2252
  • Abstract
    The authors describe a novel approach for generating a gate matrix style layout. They present a genetic algorithm for determining the order of the polysilicon columns in the layout, which is the first step in generating a gate matrix style layout. The algorithm operates on a set of solutions and produces new solutions through the application of three genetic operators: crossover, mutation, and inversion. These operators search the solution space by combining partial solutions from the current set of solutions and by modifying the current set of solutions. By combining partial solutions to generate new ones, this method has the ability to find compact layouts for circuits that contain repeated structures. The algorithm was tested on several standard circuits and produced results as good as, or superior to, other published results
  • Keywords
    CMOS integrated circuits; circuit layout CAD; computational complexity; integrated circuit technology; CMOS circuits; IC layout; compact layouts; crossover; gate matrix layout algorithm; genetic algorithm; genetic operators; inversion; mutation; polysilicon columns; Circuit testing; Genetic algorithms; Genetic mutations; MOSFETs; Parasitic capacitance; Simulated annealing; Standards development; Standards publication; Wires; Wiring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0593-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1992.230511
  • Filename
    230511