Abstract
In a system design, two big subjects when optimizing a design variable occur. One is that multiple-purpose optimization is required since an objective function is not one. Another is that design space becomes huge since there are many design variables, and solution search becomes difficult. Then, the optimization of a hierarchical type that divides design space and performs solution search becomes indispensable. However, the technique of performing only search of the solution that satisfies restrictions conditions, and the technique of combining the multiple-purpose optimal solution that divided the design into the partial problem, which does not have dependence mutually, are only proposed. So, by this research, since examination fundamental about the multiple-purpose optimization technique applicable also to a dependable partial problem was performed and the possibility was clarified, it reports.
