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

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

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語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
出版ステータスPublished - 2011 9月 5
イベント11th International Conference on Computational Science and Its Applications, ICCSA 2011 - Santander, Spain
継続期間: 2011 6月 202011 6月 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
国/地域Spain
CitySantander
Period11/6/2011/6/23

ASJC Scopus subject areas

  • 計算理論と計算数学
  • コンピュータ サイエンスの応用

フィンガープリント

「Efficient GA approach combined with Taguchi method for mixed constrained circuit design」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル