• DocumentCode
    3229357
  • Title

    Improved differential evolution algorithm used for load distribution of hot strip rolling

  • Author

    Feng Yao ; Weidong Yang

  • Author_Institution
    Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    526
  • Lastpage
    530
  • Abstract
    To solve the problem that standard differential evolution algorithm is easy to premature convergence, here gives a new variant form-self-disturbance variation, and takes some improvement to it. New mutation could maintain the diversity of population, and the improvement could increase convergence speed. The improved method achieves performance improvement, and does not increase the time complexity of the original algorithm. Then, it is applied to the calculation of hot rolling load distribution.
  • Keywords
    genetic algorithms; hot rolling; load distribution; evolutionary computation technique; hot strip rolling; improved differential evolution algorithm; load distribution; performance improvement; real-coded genetic algorithm; variant form-self-disturbance variation; Ice; differential evolutional algorithm; hot strip mills; load distribution; self-disturbance variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645180
  • Filename
    5645180