Efficient GA approach combined with Taguchi method for mixed constrained circuit design

Yiwen Su, Zhiguo Bao, Fangfang Wang, Takahiro Watanabe

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings - 2011 International Conference on Computational Science and Its Applications, ICCSA 2011
ページ290-293
ページ数4
DOI
出版物ステータスPublished - 2011 9 5
イベント11th International Conference on Computational Science and Its Applications, ICCSA 2011 - Santander, Spain
継続期間: 2011 6 202011 6 23

出版物シリーズ

名前Proceedings - 2011 International Conference on Computational Science and Its Applications, ICCSA 2011

Conference

Conference11th International Conference on Computational Science and Its Applications, ICCSA 2011
Spain
Santander
期間11/6/2011/6/23

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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  • これを引用

    Su, Y., Bao, Z., Wang, F., & Watanabe, T. (2011). Efficient GA approach combined with Taguchi method for mixed constrained circuit design. : Proceedings - 2011 International Conference on Computational Science and Its Applications, ICCSA 2011 (pp. 290-293). [5959590] (Proceedings - 2011 International Conference on Computational Science and Its Applications, ICCSA 2011). https://doi.org/10.1109/ICCSA.2011.44