• DocumentCode
    1563417
  • Title

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

  • Author

    Wang, Feng ; Li, Yuanxiang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Wuhan Univ.
  • Volume
    1
  • fYear
    2005
  • Firstpage
    274
  • Lastpage
    278
  • 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
  • Keywords
    circuit CAD; divide and conquer methods; genetic algorithms; low-pass filters; analog circuit design; divide-and-conquer method; low-pass filter; multi-objective adaptive scheme; two-layer genetic programming; voltage amplifier; Analog circuits; Application software; Circuit synthesis; Circuit topology; Computer science; Electronic mail; Evolutionary computation; Genetic programming; Joining processes; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614614
  • Filename
    1614614