Analog circuits are very important in many high-speed
applications. Since the size of analog circuit is
becoming larger and more complex, the design is
becoming more and more difficult. In this paper, a
novel design approach which uses a divide-and-conquer
method to evolve the analog circuits is proposed, and a
multi-objective adaptive scheme is presented at the
same time. The fitness function can be integrated into
a vector and the circuit can be evolved more
practically than before by this multi-objective
adaptive scheme. The experimental results on the
designs of the voltage amplifier and the low-pass
filter show that this algorithm is efficient.
%0 Conference Paper
%1 Wang:2005:ICNNB
%A Wang, Feng
%A Li, Yuanxiang
%B ICNN&B'05. International Conference on Neural
Networks and Brain
%D 2005
%I IEEE
%K algorithms, genetic programming
%P 274--278
%R doi:10.1109/ICNNB.2005.1614614
%T Multi-objective Adaptive Scheme for Analog Circuit
Design Based on Two-layer Genetic Programming
%V 1
%X Analog circuits are very important in many high-speed
applications. Since the size of analog circuit is
becoming larger and more complex, the design is
becoming more and more difficult. In this paper, a
novel design approach which uses a divide-and-conquer
method to evolve the analog circuits is proposed, and a
multi-objective adaptive scheme is presented at the
same time. The fitness function can be integrated into
a vector and the circuit can be evolved more
practically than before by this multi-objective
adaptive scheme. The experimental results on the
designs of the voltage amplifier and the low-pass
filter show that this algorithm is efficient.
@inproceedings{Wang:2005:ICNNB,
abstract = {Analog circuits are very important in many high-speed
applications. Since the size of analog circuit is
becoming larger and more complex, the design is
becoming more and more difficult. In this paper, a
novel design approach which uses a divide-and-conquer
method to evolve the analog circuits is proposed, and a
multi-objective adaptive scheme is presented at the
same time. The fitness function can be integrated into
a vector and the circuit can be evolved more
practically than before by this multi-objective
adaptive scheme. The experimental results on the
designs of the voltage amplifier and the low-pass
filter show that this algorithm is efficient.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Wang, Feng and Li, Yuanxiang},
biburl = {https://www.bibsonomy.org/bibtex/2634667ea2f13651c61f1d86e128a1afb/brazovayeye},
booktitle = {ICNN\&B'05. International Conference on Neural
Networks and Brain},
doi = {doi:10.1109/ICNNB.2005.1614614},
interhash = {2384941b8eda60526f7cdd239c1b9816},
intrahash = {634667ea2f13651c61f1d86e128a1afb},
keywords = {algorithms, genetic programming},
month = {13-15 October},
notes = {CD-ROM
Department of Computer Science and Technology, Wuhan
University, Wuhan, Hubei, China. E-mail:
wangfengwhu@hotmail.com},
pages = {274--278},
publisher = {IEEE},
timestamp = {2008-06-19T17:53:50.000+0200},
title = {Multi-objective Adaptive Scheme for Analog Circuit
Design Based on Two-layer Genetic Programming},
volume = 1,
year = 2005
}