• DocumentCode
    528633
  • Title

    An analogue integrated circuits yield optimisation with the use of genetic algorithm

  • Author

    Jantos, Piotr ; Grzechca, Damian ; Rutkowski, Jerzy

  • Author_Institution
    Div. of Circuits & Signals Theor., Silesian Univ. of Technol., Gliwice, Poland
  • fYear
    2010
  • fDate
    7-10 Sept. 2010
  • Firstpage
    293
  • Lastpage
    296
  • Abstract
    Design for Manufacturability and Yield is one of the most important concepts in analogue integrated circuits manufacturing. The process of adjusting the nominal values of circuit parameters allows for partial immunisation of its performance against deviations in value of the circuit´s parameters. This paper proposes the use of an evolutionary tool, the genetic algorithm, for design centring. The process is based on encompassing an assumed integrated model and Monte Carlo analysis. The presented design centring method has been verified with the use of an example circuit, i.e. a CMOS operational amplifier.
  • Keywords
    CMOS analogue integrated circuits; Monte Carlo methods; design for manufacture; genetic algorithms; integrated circuit manufacture; operational amplifiers; CMOS operational amplifier; Monte Carlo analysis; analogue integrated circuits manufacturing; circuit parameters; design centring method; design for manufacturability; evolutionary tool; genetic algorithm; integrated model; optimisation; partial immunisation; Analog integrated circuits; Couplings; Evolutionary computation; Integrated circuit modeling; Monte Carlo methods; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals and Electronic Systems (ICSES), 2010 International Conference on
  • Conference_Location
    Gliwice
  • Print_ISBN
    978-1-4244-5307-8
  • Electronic_ISBN
    978-83-9047-4-2
  • Type

    conf

  • Filename
    5595190