Automated analog circuit design using two-layer genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Wang:2007:AMC,
  author =       "Feng Wang and Yuanxiang Li and Li Li and Kangshun Li",
  title =        "Automated analog circuit design using two-layer
                 genetic programming",
  journal =      "Applied Mathematics and Computation",
  year =         "2007",
  volume =       "185",
  number =       "2",
  pages =        "1087--1097",
  month =        "15 " # feb,
  note =         "Special Issue on Intelligent Computing Theory and
                 Methodology",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 computation, Evolvable hardware, Analogue circuit
                 design, Electrical circuits",
  DOI =          "doi:10.1016/j.amc.2006.07.029",
  abstract =     "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 two-layer evolutionary scheme based on
                 genetic programming (GP), which uses a
                 divide-and-conquer approach to evolve the analog
                 circuits. Corresponding to the two-layer GP, a new
                 representation of circuit has been proposed here and it
                 is more helpful to generate expectant circuit graphs.
                 This algorithm can evolve 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
                 algorithm is efficient.",
  notes =        "a School of Computer Science, Wuhan University, Wuhan
                 430072, PR China

                 b State Key Laboratory of Software Engineering, Wuhan
                 University, Wuhan 430072, PR China

                 c International Software School, Wuhan University,
                 Wuhan 430072, PR China

                 d School of Information Engineering, Jiangxi University
                 of Science and Technology, Jiangxi 341000, PR China",
}

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

Citations