• DocumentCode
    2046943
  • Title

    Design of Analog Integrated Circuits by Using Genetic Algorithm

  • Author

    Jafari, A. ; Zekri, M. ; Sadri, S. ; Mallahzadeh, Ali Reza

  • Author_Institution
    Dept. of Electr. Eng., Islamic Azad Univ., Bushehr, Iran
  • Volume
    1
  • fYear
    2010
  • fDate
    19-21 March 2010
  • Firstpage
    578
  • Lastpage
    581
  • Abstract
    This paper applies the Artificial Intelligence technique called Genetic Algorithm (GA) to perform analog integrated circuits design, synthesis and optimization in order to reduce the development time and increase precision of this kind of circuits. In this work an accurate method to determine the device sizes in an analog integrated circuit on the basis of genetic algorithm is presented. To evaluate algorithm, an example in both time and frequency domains for a two-stage CMOS Operational Transconductance Amplifier (OTA) is presented in 0.18 ¿m process. The simulation results confirm the efficiency of GA in determining the device sizes in an analog circuit.
  • Keywords
    CMOS analogue integrated circuits; artificial intelligence; frequency-domain analysis; genetic algorithms; integrated circuit design; operational amplifiers; time-domain analysis; OTA; analog integrated circuit design; artificial intelligence; device size; frequency domain simulation; genetic algorithm; optimization; time domain simulation; two-stage CMOS operational transconductance amplifier; Algorithm design and analysis; Analog integrated circuits; Artificial intelligence; CMOS process; Design optimization; Frequency domain analysis; Genetic algorithms; Integrated circuit synthesis; Operational amplifiers; Transconductance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
  • Conference_Location
    Bali Island
  • Print_ISBN
    978-1-4244-6079-3
  • Electronic_ISBN
    978-1-4244-6080-9
  • Type

    conf

  • DOI
    10.1109/ICCEA.2010.118
  • Filename
    5445763