• DocumentCode
    3042575
  • Title

    An Imitative Full Stress Genetic Algorithm for Structural Optimization with Discrete Variables

  • Author

    Pengfei, Guo ; Xuezhi, Wang ; Yingshi, Han

  • Author_Institution
    Liaoning Univ. of Technol., Jinzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    579
  • Lastpage
    583
  • Abstract
    On the basis of full stress design, an imitative full stress design method was presented for structural optimum design with discrete variables .The structural optimum design with discrete variables under stress and section size constraints could be directly calculated by this method. Through defining an imitative full stress design operator in the genetic algorithm, a hybrid genetic algorithm for structural optimization with discrete variables, combined the advances of both genetic algorithm and the imitative full stress design method, is presented in this paper. The numerical results show that the method is superior to the genetic algorithm and the imitative full stress design method.
  • Keywords
    genetic algorithms; stress measurement; structural engineering; hybrid genetic algorithm; imitative full stress design method; structural optimization; Algorithm design and analysis; Constraint optimization; Curve fitting; Design methodology; Design optimization; Genetic algorithms; Intelligent structures; Intelligent systems; Stress; Structural shapes; discrete variable; genetic algorithm; stress; structural optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.17
  • Filename
    5209063