• DocumentCode
    2607678
  • Title

    Improved differential evolution optimization algorithm for the design of a brushless dc wheel motor

  • Author

    dos Santos Coelho, Leandro ; Mariani, Viviana Cocco ; Alotto, Piergiorgio

  • Author_Institution
    Autom. & Syst. Lab., Pontifical Catholic Univ. of Parana, Curitiba, Brazil
  • fYear
    2010
  • fDate
    9-12 May 2010
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Differential evolution is an evolutionary algorithm over continuous spaces which incorporates an efficient way of self-adapting mutation using small populations. This paper uses a brushless DC wheel motor benchmark problem to investigate the performance of Differential Evolution. Results are competitive with those of other optimization methods.
  • Keywords
    brushless DC motors; design engineering; evolutionary computation; optimisation; brushless DC wheel motor; differential evolution optimization algorithm; self-adapting mutation; Algorithm design and analysis; Brushless DC motors; Brushless motors; DC motors; Design optimization; Evolutionary computation; Genetic mutations; Optimization methods; Stochastic processes; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-7059-4
  • Type

    conf

  • DOI
    10.1109/CEFC.2010.5481325
  • Filename
    5481325
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2607678