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A Sequential Approximate Optimization Technique Using the Previous Response Values

응답량 재사용을 통한 순차 근사최적설계

  • 황태경 (부산대학교 대학원 기계설계공학과) ;
  • 최은호 (부산대학교 대학원 기계설계공학과) ;
  • 임오강 (부산대학교 기계공학부, 기계기술연구소)
  • Published : 2005.01.01

Abstract

A general approximate optimization technique by sequential design domain(SDD) did not save response values for getting an approximate function in each step. It has a disadvantage at aspect of an expense. In this paper, previous response values are recycled for constructing an approximate function. For this reason, approximation function is more accurate. Accordingly, even if we did not determine move limit, a system is converged to the optimal design. Size and 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 direction finding problem and uses the active set strategy.

Keywords

References

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