- author = "Feng Wang and Yuanxiang Li",
- title = "Multi-objective Adaptive Scheme for Analog Circuit Design Based on Two-layer Genetic Programming",
- booktitle = "ICNN\&B'05. International Conference on Neural Networks and Brain",
- year = "2005",
- volume = "1",
- pages = "274--278",
- month = "13-15 " # oct,
- publisher = "IEEE",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/ICNNB.2005.1614614",
- 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.",
-
notes = "CD-ROM
Department of Computer Science and Technology, Wuhan University, Wuhan, Hubei, China. E-mail: wangfengwhu@hotmail.com",
