Investigation of a practical method of structural optimization by genetic algorithms - (Proposal of a hybrid GA and application towards the thicknessoptimization of a CRT)
H. Sakamoto et al., Investigation of a practical method of structural optimization by genetic algorithms - (Proposal of a hybrid GA and application towards the thicknessoptimization of a CRT), JSME A, 44(3), 2001, pp. 330-337
Citations number
13
Categorie Soggetti
Mechanical Engineering
Journal title
JSME INTERNATIONAL JOURNAL SERIES A-SOLID MECHANICS AND MATERIAL ENGINEERING
A new hybrid genetic algorithm (GA) and a parallel genetic algorithm are pr
oposed in this paper in order to improve the convergence of structural opti
mization. The fully stressed design, FSD, method and a GA were incorporated
into the hybrid GA. In the parallel GA, the "island model" was applied to
reduce the computation time. Stress analyses were carried out with a commer
cial FEM code to obtain the optimum solution with high reliability even in
a complex model. As a result of the axi-symmetric shell model, the optimum
solution by using the proposed hybrid GA was 50% lighter than that by using
simple GA. Furthermore, the computation time using the parallel GA with 10
processors was reduced by up to 1/7 of the time using one processor. These
methods were then used to optimize the thickness of a three-dimensional sh
ell model of a CRT. As a result of the application, the weight of the optim
um model was 25% lighter than that of the reference model.