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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.812445