期刊名称：International Journal of Computer, Information, and Systems Science, and Engineering
印刷版ISSN：1307-2331
出版年度：2007
卷号：1
期号：2
出版社：World Academy of Science, Engineering and Technology
摘要：In this paper, the optimum weight and cost of a
laminated composite plate is seeked, while it undergoes the heaviest
load prior to a complete failure. Various failure criteria are defined
for such structures in the literature. In this work, the Tsai-Hill theory
is used as the failure criterion. The theory of analysis was based on
the Classical Lamination Theory (CLT). A newly type of Genetic
Algorithm (GA) as an optimization technique with a direct use of real
variables was employed. Yet, since the optimization via GAs is a
long process, and the major time is consumed through the analysis,
Radial Basis Function Neural Networks (RBFNN) was employed in
predicting the output from the analysis. Thus, the process of
optimization will be carried out through a hybrid neuro-GA
environment, and the procedure will be carried out until a predicted
optimum solution is achieved.
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