• DocumentCode
    2779115
  • Title

    A parallel between differential evolution and genetic algorithms with exemplification in a microfluidics optimization problem

  • Author

    Codreanu, Irina

  • Author_Institution
    Nat. Inst. for R&D in Microtechnol., Bucharest
  • Volume
    2
  • fYear
    2005
  • fDate
    5-5 Oct. 2005
  • Firstpage
    421
  • Abstract
    This paper analyses two optimization procedures: one based on genetic algorithms and the other on differential evolution. We apply these algorithms on a particular problem from the field of microfluidics in order to demonstrate how they can be used in design optimization. The improvement of the results, and also the simplicity and flexibility of the algorithms encourages us to suggest the use of these techniques in other problems from other areas in MEMS design
  • Keywords
    genetic algorithms; microfluidics; optimisation; MEMS design; design optimization; genetic algorithms; microfluidics optimization problem; Adaptive algorithm; Algorithm design and analysis; Biological cells; Design optimization; Genetic algorithms; Genetic mutations; Microfluidics; Micromechanical devices; Research and development; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semiconductor Conference, 2005. CAS 2005 Proceedings. 2005 International
  • Conference_Location
    Sinaia
  • Print_ISBN
    0-7803-9214-0
  • Type

    conf

  • DOI
    10.1109/SMICND.2005.1558816
  • Filename
    1558816