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
Link To Document