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A Global Robust Optimization Using Kriging Based Approximation Model

Title
A Global Robust Optimization Using Kriging Based Approximation Model
Author
박경진
Keywords
robust optimization; kriging; robustness; uncertainties; microgyroscope
Issue Date
2006-09
Publisher
JAPAN SOC MECHANICAL ENGINEERS
Citation
JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING, v. 49, No. 3, Page. 779-788
Abstract
The current trend of design methodologies is to make engineers objectify or automate the decision-making process. Numerical optimization is an example of such technologies but it may produce uncontrollable uncertainties. To increase m. anageability of such uncertainties, the Taguchi method, reliability-based optimization and robust optimization are commonly being used. The main functional requirement of a mechanical system is to obtain the target performance with maximum robustness. In this research, a design procedure for global robust optimization is developed using kriging and global optimization approaches. Robustness is determined by kriging model to reduce a number of real functional calculations. The simulated annealing algorithm of global optimization methods is adopted to determine the global robust optimum of a surrogate model. As the postprocess, the global optimum is further refined by applying the first-order second-moment approximation method. Mathematical problems and the MEMS design problem are investigated to show the validity of the proposed method.
URI
https://www.jstage.jst.go.jp/article/jsmec/49/3/49_3_779/_article/-char/ja/https://repository.hanyang.ac.kr/handle/20.500.11754/108529
ISSN
1344-7653
DOI
10.1299/jsmec.49.779
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
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