Abstract
In this paper, we will aplly integrated optimization system that is composed by Radius Basis Function Network (RBFN) as approximation tool, Genetic Range Genetic Algorithms (GRGA) as optimizer, and commercial FEM program as analyzer, to a real design problem. And we will verify practical effectiveness of the system.
