• DocumentCode
    3357601
  • Title

    Hybrid optimization algorithms in designing of induction motor at occurrence continuous and discontinuous decision variables

  • Author

    Lachecinski, S. ; Dems, M. ; Wiak, S.

  • Author_Institution
    Inst. of Mechatron. & Inf. Syst., Tech. Univ. of Lodz, Lodz
  • fYear
    2007
  • fDate
    10-12 Sept. 2007
  • Firstpage
    541
  • Lastpage
    546
  • Abstract
    In the paper, a new hybrid optimization algorithm, using genetic and modified deterministic Rosenbrock´s algorithm in designing big power induction motor is presented. The continuous and discontinuous decision variables and a big collection of limitations were used.
  • Keywords
    genetic algorithms; induction motors; discontinuous decision variables; genetic algorithm; hybrid optimization algorithms; induction motor design; Algorithm design and analysis; Design optimization; Genetic algorithms; Genetic mutations; Induction motors; Mechatronics; Optimization methods; Stator cores; Stator windings; Teeth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Power Electronics, 2007. ACEMP '07. International Aegean Conference on
  • Conference_Location
    Bodrum
  • Print_ISBN
    978-1-4244-0890-0
  • Electronic_ISBN
    978-1-4244-0891-7
  • Type

    conf

  • DOI
    10.1109/ACEMP.2007.4510562
  • Filename
    4510562
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3357601