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
Link To Document :
بازگشت