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Showing results 1 to 6 of 6

1
Adaptive virtual support vector machine for reliability analysis of high-dimensional problems

Song, Hyeongjin; Choi, K. K.; Lee, Ikjin; Zhao, Liang; Lamb, David, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.47, no.4, pp.479 - 491, 2013-04

2
Conservative Surrogate Model Using Weighted Kriging Variance for Sampling-Based RBDO

Zhao, Liang; Choi, K. K.; Lee, Ikjin; Gorsich, David, JOURNAL OF MECHANICAL DESIGN, v.135, no.9, 2013-09

3
Metamodeling Method Using Dynamic Kriging for Design Optimization

Zhao, Liang; Choi, K. K.; Lee, Ikjin, AIAA JOURNAL, v.49, no.9, pp.2034 - 2046, 2011-09

4
Reply by the Authors to the Comment by H. Liang and M. Zhu

Zhao, Liang; Choi, K. K.; Lee, Ikjin, AIAA JOURNAL, v.51, no.12, pp.2990 - 2990, 2013-12

5
Sampling-based RBDO using the stochastic sensitivity analysis and Dynamic Kriging method

Lee, Ikjin; Choi, K. K.; Zhao, Liang, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.44, no.3, pp.299 - 317, 2011-09

6
Sampling-Based Stochastic Sensitivity Analysis Using Score Functions for RBDO Problems With Correlated Random Variables

Lee, Ikjin; Choi, K. K.; Noh, Yoojeong; Zhao, Liang; Gorsich, David, JOURNAL OF MECHANICAL DESIGN, v.133, no.2, 2011-02

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