• DocumentCode
    348726
  • Title

    Hierarchical genetic algorithms for composite laminate panels stress optimisation

  • Author

    Isasi, P. ; Sanchis, A. ; Molina, J.M. ; Berlanga, A.

  • Author_Institution
    Dept. de Inf., Univ. Carlos III de Madrid, Spain
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    447
  • Abstract
    Genetic algorithms (GAs) have demonstrated to be a powerful technique for solving optimisation problems. In this article, the problem of optimising the number of plies and their stacking sequence in the design of laminated composite panels is considered. This problem has special features that makes it different from traditional problems in which GAs have been applied, which make the problem a multiobjective optimisation one. Symmetry and equilibrium constraints have also been included in the solution. A modification of the canonical GA is needed and a new perspective for solving this problem by using GA techniques is introduced
  • Keywords
    genetic algorithms; laminates; production control; composite laminate panels; equilibrium constraints; hierarchical genetic algorithms; multiobjective optimisation; production control; stacking sequence; stress; symmetry constraints; Business; Design optimization; Genetic algorithms; Laminates; Mathematics; Pattern recognition; Process design; Stochastic processes; Stress; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-5731-0
  • Type

    conf

  • DOI
    10.1109/ICSMC.1999.812445
  • Filename
    812445