A New Circuit Representation Method for Analog Circuit Design Automation

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Wang14:2008:cec,

• author = "Feng Wang and Yuanxiang Li and Kangshun Li and Zhiyi Lin",
• title = "A New Circuit Representation Method for Analog Circuit Design Automation",
• booktitle = "2008 IEEE World Congress on Computational Intelligence",
• year = "2008",
• editor = "Jun Wang",
• pages = "1976--1980",
• address = "Hong Kong",
• month = "1-6 " # jun,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• isbn13 = "978-1-4244-1823-7",
• file = "EC0475.pdf",
• DOI = "doi:10.1109/CEC.2008.4631059",
• abstract = "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.",
• keywords = "genetic algorithms, genetic programming",
• notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the EPS and the IET.",

}

Genetic Programming entries for Feng Wang Yuanxiang Li Kangshun Li Zhiyi Lin

Citations