• DocumentCode
    2371928
  • Title

    Efficient GA Approach Combined with Taguchi Method for Mixed Constrained Circuit Design

  • Author

    Su, Yiwen ; Bao, Zhiguo ; Wang, Fangfang ; Watanabe, Takahiro

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • fYear
    2011
  • fDate
    20-23 June 2011
  • Firstpage
    290
  • Lastpage
    293
  • Abstract
    This paper proposes a new circuit design optimization method where Genetic Algorithm (GA) with parameterized uniform crossover (GApuc) is combined with Taguchi method. The purposed are (a) using Taguchi method to search for optimal fitness value and (b) evaluating the power and signal delay of logic blocks in circuit design to get an optimum circuit in complexity, power and signal delay. The present study enhances the previous results by providing a much more detailed examination of mixed constrained circuit design. Experimental results show that our proposed approach can produce a good circuit in both fitness function and CPU time.
  • Keywords
    Taguchi methods; circuit complexity; genetic algorithms; logic design; network synthesis; CPU; GA approach; Taguchi method; circuit complexity; fitness function; genetic algorithm; logic block; mixed constrained circuit design optimization method; optimal fitness value; parameterized uniform crossover; power delay; signal delay; Arrays; Circuit synthesis; Complexity theory; Delay; Genetic algorithms; Logic gates; Optimization; Design of experiments; Evolutionary Algorithm (EA); Genetic Algorithm (GA); Orthogonal array; Response surface methodology; Taguchi methodology; circuit optimization; evolutionary circuit design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Its Applications (ICCSA), 2011 International Conference on
  • Conference_Location
    Santander
  • Print_ISBN
    978-1-4577-0142-9
  • Type

    conf

  • DOI
    10.1109/ICCSA.2011.44
  • Filename
    5959590