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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2003.4
- 수록면
- 1,248 - 1,253 (6page)
이용수
초록· 키워드
오류제보하기
Sensitivity information has been used for linearization of nonlinear functions in optimization. Basically,
sensitivity is a derivative of a function with respect to a design variable. Design sensitivity is repeatedly
calculated in optimization. Since sensitivity calculation is extremely expensive, there are studies to directly
use the sensitivity in the design process. When a small design change is required, an engineer makes design
changes by considering the sensitivity information. Generally, the current process is performed one-by-one
for design variables. Methods to exploit the sensitivity information are developed. When a designer wants
to change multiple variables with some relationship, the directional derivative can be utilized. In this case,
the first derivative can be calculated. Only small design changes can be made from the first derivatives.
Orthogonal arrays can be used for moderate changes of multiple variables. Analysis of Variance is carried out
to find out the regional influence of variables. A flow is developed for efficient use of the methods. The
sensitivity information is calculated by finite difference method. Various examples are solved to evaluate the
proposed algorithm.
sensitivity is a derivative of a function with respect to a design variable. Design sensitivity is repeatedly
calculated in optimization. Since sensitivity calculation is extremely expensive, there are studies to directly
use the sensitivity in the design process. When a small design change is required, an engineer makes design
changes by considering the sensitivity information. Generally, the current process is performed one-by-one
for design variables. Methods to exploit the sensitivity information are developed. When a designer wants
to change multiple variables with some relationship, the directional derivative can be utilized. In this case,
the first derivative can be calculated. Only small design changes can be made from the first derivatives.
Orthogonal arrays can be used for moderate changes of multiple variables. Analysis of Variance is carried out
to find out the regional influence of variables. A flow is developed for efficient use of the methods. The
sensitivity information is calculated by finite difference method. Various examples are solved to evaluate the
proposed algorithm.
목차
Abstract
1. 서론
2. 민감도 정보를 이용한 설계
3. 설계에서의 방향 도함수 활용
4. 예제
5. 결론
후기
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