A New Circuit Representation Method for Analog Circuit Design Automation

被引:2
|
作者
Wang, Feng [1 ,2 ]
Li, Yuanxiang [3 ]
Li, Kangshun [4 ,5 ]
Lin, Zhiyi [3 ]
机构
[1] Wuhan Univ, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
[2] City Univ, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
[3] Wuhan Univ, Lab Software Engn, Wuhan, Peoples R China
[4] Jiangxi Univ Sci & Technol, Sch Informat Engn, Jian, Jiangxi, Peoples R China
[5] Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1109/CEC.2008.4631059
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Analog circuits are very important in many high-speed applications such as communications. Since the size of analog circuit is becoming larger and more complex, the design is becoming more and more difficult. This paper proposes a new circuit representation method based on a two-layer evolutionary scheme with Genetic Programming (TLGP), which uses a divide-and-conquer approach to evolve the analog circuits. This representation has the desirable property which is more helpful to generate expectant circuit graphs. And it is capable of generating various kinds of circuits by evolving the circuits with dynamical size, circuit topology, and component values. The experimental results on the designs of the voltage amplifier and the low-pass filter show that this method is efficient.
引用
收藏
页码:1976 / +
页数:2
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