• DocumentCode
    2989337
  • Title

    Optimal design on CMOS operational amplifier with QPSO algorithm

  • Author

    Wu, Rui ; Wang, Jian-chao ; Xia, Ke-wen ; Yang, Rui-xia

  • Author_Institution
    Sch. of Inf. Eng., Hebei Univ. of Technol., Tianjin
  • Volume
    2
  • fYear
    2008
  • fDate
    30-31 Aug. 2008
  • Firstpage
    821
  • Lastpage
    825
  • Abstract
    On the optimal design of CMOS operational amplifier, it is very difficult to improve the circuitpsilas performance by manual design. So a quantum-behaved particle swarm optimization algorithm (QPSO) based on the swarm intelligent technology is presented to get the global optimal solution. This algorithm is mainly to optimize the position of the particle instead of solve the circuit performance analytic equation. First of all, initialize the position and velocity of particles, then renew iteratively, until to search the global optimum. The example result proves it can improve the circuitpsilas performance of the CMOS operational amplifier, and the quantum-behaved PSO algorithm is superior to genetic algorithm and PSO algorithm in precision, velocity of convergence.
  • Keywords
    CMOS integrated circuits; genetic algorithms; operational amplifiers; particle swarm optimisation; CMOS operational amplifier; QPSO algorithm; circuit performance analytic equation; optimal design; quantum-behaved particle swarm optimization algorithm; swarm intelligent technology; Algorithm design and analysis; CMOS technology; Circuit analysis; Circuit optimization; Equations; Iterative algorithms; Manuals; Operational amplifiers; Particle swarm optimization; Performance analysis; CMOS Operational Amplifier; Circuit Performance Analytic equation; Optimal design; quantum-behaved PSO algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-2238-8
  • Electronic_ISBN
    978-1-4244-2239-5
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2008.4635890
  • Filename
    4635890