Multi-objective Adaptive Scheme for Analog Circuit Design Based on Two-layer Genetic Programming

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@InProceedings{Wang:2005:ICNNB,
  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",
}

Genetic Programming entries for Feng Wang Yuanxiang Li

Citations