1 |
Morrism, m. D. and Mitchell, T. J., 1995, 'Exploratory designs for Computational Experiments, 'Journal of Statistical Planning and Inferince, Vol. 43, pp. 281-402
DOI
ScienceOn
|
2 |
Kim, J. H. Lee, J. S., Lee, H. J. and Koo, B. H., 2003, 'Applications of Micro Genetic Algorithms to Engineering Design Optimization, 'Transactions of the KSME A, Vol.27, No.1, pp.158-166
과학기술학회마을
DOI
ScienceOn
|
3 |
Vanderplaats, G. N., 1995, DOT-Design Optimization Tools User Manual, Vanderplaats Research & Development, Inc
|
4 |
Tang, N., 1993, 'Orthogonal Array-Based Latin Hypercubes,' Journal of the American Statistical Association, Vol. 39, pp.95-111
|
5 |
Park, J. S., 1994, 'Optimal Latin-Hupercube Designs for Computer Experiments,' Journal of Statistical Planning and Inference, Vol. 39, pp.95-111
DOI
ScienceOn
|
6 |
Hong, K. J., Kim, M. S. and Choi, D. H., 20010,'Efficient Approximation Method for Constructing Quadratic Response Surface Model,' KSME International Journal, Vol. 15, No. 7. pp.876-888
과학기술학회마을
|
7 |
Sacks, J., Welch, W. J., Mitchell, T. J. and Wynn, H. P., 1989, 'Design and Analysisof Computer Experiments,' Statistical Science, Vol.4, No.4, pp.409-435
DOI
ScienceOn
|
8 |
McKay, M.H.,Beckman, R.J. and Conover, W.J., 1979, 'A Compaison of Three Methods for Selecting, Values of Input variables in the Analusis of Optput from a Computer Code,' Technometrics, Vol. 21, No. 2, pp.239-245
DOI
|
9 |
Rodriguez, J. F., Renaud, J. E. and Watson, T., 1998, 'Trust Region Augmented Lagrangian Methods for Sequential Response Surface Approximation and Optimization,'ASME Journal of Mechanical Design, Vol. 120, pp.58-66
DOI
ScienceOn
|
10 |
Jin, R., Chen, W. and Sudjianto A., 2002, 'On Sequential Sampling for Global Metamodeling in Engineering Design,' Proceeding of DETC'02 ASME 2002 Design Engineering Technical Conferences and Computers and Informationn in Engineering Conferences, DETV2002/DAC-32092
|
11 |
Jin, R., Chen, W. and Simpson, T. W., 2001, 'Comparative Studies of Metamodeling Techniques under Multiple Modeling Criteria,' Journal of Structural and Multidisciplinary Optimization, Vol. 23, No. 1, pp.1-13
DOI
|
12 |
Fletcher, R., 1987, Practical Method of Optimization,, Johm Wiley & Somns, Chichester
|
13 |
Roux, W. J., Stander Nielen and Haftkam, R. T., 1998, 'Response Surface Approximations for Structural Optimization,' International Journal for Numerical Methods in Engineering, Vol. 42, pp.517-534
DOI
ScienceOn
|
14 |
Giunta, A. A., Wojtkiewicz Jr., S. F. and Eldred, M. S., 2003, 'Overview of Modern Design of Experiments Methods for Computational Simulations,' 41th AIAA Aerosqace Sciences Meeting And Exhibit, Reno, NV, AIAA, Jan 6-9, 2003, AIAA-2003-0649
|
15 |
Myers, R. H. and , Montgomery, D. C., 1995, Response Surface Methodology - Process and Product Optimization Using Designed Experiments, John Wiley & Sons. NY
|
16 |
Koehler, J. R. and Owen, A. B., 1996, 'Computer Experiments,' In: Ghosh, S., Rao, C. R. (Des.), Handhbook of Statistics, 13: Design and Analysis of experiments, North-Holland, Amsterdam, pp.261-308
|
17 |
Simpson, T.W., Peplinkski, J., Koch, P. N. and Allen, J. K., 2001, 'Metamodels for Computer Based Engineering Design: Survey and Recommendations,' Engineering with Computers, Vol. 17, No. 2, pp.129-150
DOI
ScienceOn
|
18 |
Wang, G. G., 2003, 'Adaptive Response Surface Method Using Inherited Latin Hypercube Design Points,' Transactions of The ASME, Vol. 125, pp.210-220
DOI
ScienceOn
|
19 |
Schmit, L. A. and Farshi, B., 1974 'Some Approximation Concepts for Stuctural Synthesis,'AIAA Journal, Vol. 12, No.5, pp.692-699
DOI
ScienceOn
|
20 |
Healy, M. J., Kowalik, J. S. and Ransay, J. W., 1974, 'Airplane Engine Selection By Optimization on Surface Fit Approximation,'Journal of Aircraft, Vol.12. No.7,pp.593-599
|