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Design Optimization Using the Two-Point Convex Approximation

이점 볼록 근사화 기법을 적용한 최적설계

  • 김종립 (한양대학교 대학원, 기계설계학과) ;
  • 최동훈 (한양대학교, 최적설계신기술연구센터)
  • Published : 2003.06.01

Abstract

In this paper, a new local two-point approximation method which is based on the exponential intervening variable is proposed. This new algorithm, called the Two-Point Convex Approximation(TPCA), use the function and design sensitivity information from the current and previous design points of the sequential approximate optimization to generate a sequence of convex, separable subproblems. This paper describes the derivation of the parameters associated with the approximation and the numerical solution procedure. In order to show the numerical performance of the proposed method, a sequential approximate optimizer is developed and applied to solve several typical design problems. These optimization results are compared with those of other optimizers. Numerical results obtained from the test examples demonstrate the effectiveness of the proposed method.

Keywords

References

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