참고문헌
-
Haftka, R. T. and G
$\ddot u$ rdal, Elements of Structural Optimization, Kluwer Academic Publishers, 1992 - Box, G. and Wilson, K., 'On The Experimental Attainment of Optimum Condition,' Journal of Royal Statical Society, Ser. B, Vol. 13, 1951, pp. 1-45
- Hill, W. and Hunter, W., 'A Review of Response Surface Methodology: A Literature Survey,' Technometrics, Vol. 8, No. 4, November, 1966, pp. 571-590 https://doi.org/10.2307/1266632
- Myers, R., Khuri, A. and Carter, W., 'Response Surface Methodology: 1966 - 1988,' Technometrics, Vol. 31, No. 2, 1989, pp. 137-157 https://doi.org/10.2307/1268813
- Duley, 'Multidisciplinary Optimization of the High-Speed Civil Transport,' AIAA, 1995, pp. 95-1024
- Tzannetakis, N., 'Numerical Methods for Modeling and Optimization of Noise Emission Applications,' ASME Symposium in Acoustics and Noise Software, Detroit, MI, USA, 1997
- Bannet, 'Issues in Industrial Multidisciplinary Optimization,' AIAA, 1998, pp. 98-4737
- MSC, 1999, MSC/NASTRAN User's Guide
- Myers, R. and Montgomery, D. C., Re- sponse Surface Methodology - Process an Product Optimization Using Designed Experiments, John Wiley & Sons, 1995
- Broudiscou, A., Leardi, R. and Phan- Tan-Luu, R., 'Genetic Algorithm as a Tool for Selection of D-optimal Design,' Chemometrics and Intelligent Laboratory Systems 35, 1996, pp. 105-116 https://doi.org/10.1016/S0169-7439(96)00028-7
-
Poland, J., Mitterer, A., Kn
$\ddot o$ dler, K. and Zell, A., 'Geneitic Algorithm Can Improve the Construction of D-optimal Experimental Designs,' Advances In Fuzzy Systems and Evolutionary Computaion, Proceedings of WSES EC., 2001, pp. 227-231 - Vanderplaats, G. N., Numerical Optimization Techniques for Engineering Design, MacGraw-Hill, Inc, 1984
- Vanderplaats, G. N., DOT Users Manual Version5.0, Vanderplaats Research & development, Inc, 1999, PP.44-60