Abstract
A general approximate optimization technique by sequential design domain(SDD) did not save response values for getting an approximate functions in each step. It has a disadvantage at aspect of an expense. In this paper, previous response values are recycled for constructing an approximate functions. For this reason, approximation functions is more accurate. Accordingly, even if we did not determine move limit, a system is converged to the optimal design. Size an shape optimization using approximate optimization technique is carried out with SDD. Algorithm executing Pro/Engineer and ANSYS are automatically adopted in the approximate optimization program by SDD. Convergence criterion is defined such that optimal point must be located within SDD during the three steps. The PLBA(Pshenichny-Lim-Belegundu-Arora) algorithm is used to solve approximate optimization problems. This algorithm uses the second-order information in the directions finding problem and used the active set strategy.
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