%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 }