• DocumentCode
    1520976
  • Title

    Parameter optimization of an on-chip voltage reference circuit using evolutionary programming

  • Author

    Nam, Dongkyung ; Seo, Yun Deuk ; Park, Lae-Jeong ; Park, Cheol Hoon ; Kim, Bumsup

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejon, South Korea
  • Volume
    5
  • Issue
    4
  • fYear
    2001
  • fDate
    8/1/2001 12:00:00 AM
  • Firstpage
    414
  • Lastpage
    421
  • Abstract
    This paper presents an application of evolutionary programming to parameter optimization in the design of a voltage reference circuit. Designing circuits consists of two steps: topological design and parameter determination. After designing a topology suitable for the circuit, the designer selects an appropriate value for each circuit element from a circuit analysis and his experience. This step is difficult and time consuming because the designer must consider many factors simultaneously. As more precise circuits are required, parameter optimization becomes more complex. The voltage reference circuit, which requires a precise reference voltage independent of power fluctuation and temperature change, is such an example. In this paper, evolutionary programming is used as an effective method of finding good parameter values for the elements of the voltage reference circuit. Simulation results show that this method provides good performance and can be used as an effective method for circuit design
  • Keywords
    analogue integrated circuits; circuit CAD; evolutionary computation; network topology; reference circuits; circuit analysis; evolutionary programming; on-chip voltage reference circuit; parameter determination; parameter optimization; power fluctuation; temperature change; topological design; voltage reference circuit design; Circuit analysis; Circuit simulation; Circuit testing; Circuit topology; Cost function; Design optimization; Equations; Fluctuations; Genetic programming; Threshold voltage;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/4235.942535
  • Filename
    942535