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 :
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