Topology-oriented design of analog circuits based on evolutionary graph generation

研究成果: Chapter

3 被引用数 (Scopus)

抄録

This paper presents an efficient graph-based evolutionary optimization technique called Evolutionary Graph Generation (EGG), and its application to the topology-oriented design of analog circuit structures. An important feature of EGG is its capability to optimize general graph structures directly instead of encoding the structures into indirect representations, such as bit strings and trees. The potential of the proposed approach is demonstrated through the experimental design of MOS current mirrors.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
編集者Xin Yao, John A. Bullinaria, Jonathan Rowe, Peter Tino, Ata Kaban, Edmund Burke, Jose A. Lozano, Jim Smith, Juan J. Merelo-Guervos, Hans-Paul Schwefel
出版社Springer Verlag
ページ342-351
ページ数10
ISBN(印刷版)3540230920, 9783540230922
DOI
出版ステータスPublished - 2004 1 1

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3242
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

フィンガープリント

「Topology-oriented design of analog circuits based on evolutionary graph generation」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