• DocumentCode
    2719006
  • Title

    MEMS optimization using genetic algorithms

  • Author

    Leu, George ; Simion, Stefan ; Serbanescu, Alexandru

  • Author_Institution
    Mil. Tech. Acad., Bucharest, Romania
  • Volume
    2
  • fYear
    2004
  • fDate
    4-6 Oct. 2004
  • Firstpage
    475
  • Abstract
    Using genetic algorithms, an original method for MEMS optimization is proposed in This work. The optimized MEMS device should provide both minimum switching time and minimum equivalent capacitance, so the highest operating frequency is obtained. By analyzing the results obtained on the switching time for different operating voltage and geometrical configurations, it is important to mention that by using GA, the MEMS behavior is in good agreement with the expected results obtained by classical means.
  • Keywords
    capacitance; genetic algorithms; micromechanical devices; GA; MEMS optimization; equivalent capacitance; genetic algorithms; geometrical configurations; microelectromechanical system; switching time; Capacitance; Differential equations; Erbium; Frequency; Genetic algorithms; Micromechanical devices; Microwave devices; Optimization methods; Switches; Switching circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semiconductor Conference, 2004. CAS 2004 Proceedings. 2004 International
  • Print_ISBN
    0-7803-8499-7
  • Type

    conf

  • DOI
    10.1109/SMICND.2004.1403052
  • Filename
    1403052