JSME International Journal Series A Solid Mechanics and Material Engineering
Online ISSN : 1347-5363
Print ISSN : 1344-7912
ISSN-L : 1344-7912
Computational Mechanics
Investigation of a Practical Method of Structural Optimization by Genetic Algorithms
(Proposal of a Hybrid GA and Application towards the Thickness Optimization of a CRT)
Hiroo SAKAMOTOShiro TAKADAJunko ITOHMasayuki MIYAZAKIAkemi HIJIKATA
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2001 Volume 44 Issue 3 Pages 330-337

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Abstract

A new hybrid genetic algorithm (GA) and a parallel genetic algorithm are proposed in this paper in order to improve the convergence of structural optimization. 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 commercial 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 shell model of a CRT. As a result of the application, the weight of the optimum model was 25% lighter than that of the reference model.

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© 2001 by The Japan Society of Mechanical Engineers
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