A Sequential Optimization Algorithm Using Metamodel-Based Multilevel Analysis |
Baek, Seok-Heum
(동아대학교 대학원 기계공학과)
Kim, Kang-Min (선우씨에스(주) 연구개발팀) Cho, Seok-Swoo (강원대학교 삼척캠퍼스 기계자동차공학부) Jang, Deuk-Yul (강원대학교 삼척캠퍼스 기계자동차공학부) Joo, Won-Sik (동아대학교 기계공학과) |
1 | Vanderplaats, G. N., 1984, Numerical Optimization Techniques for Engineering Design, McGraw-Hill |
2 | Kwon, O. H., 1998, Nonsmooth Optimization, Korea University Press |
3 | Meckesheimer, M., Booker, A. J., Barton, R. R. and Simpson, T. W., 2002, 'Computationally Inexpensive Metamodel Assessment Strategies,' AIAA J., Vol. 40, No. 10, pp. 2053~2060 DOI ScienceOn |
4 | Lee, T. H., Seong, J. Y. and Jung, J. J., 2006, 'Sequential Feasible Domain Sampling of Kriging Metamodel by Using Penalty Function,' Trans. of the KSME(A), Vol. 30, No. 6, pp. 691~697 과학기술학회마을 DOI ScienceOn |
5 | Kim, J. R. and Choi, D. H., 2003, 'Design Optimization Using the Two-Point Convex Approximation,' Trans. of the KSME(A), Vol. 27, No. 6, pp. 1041~1049 과학기술학회마을 DOI ScienceOn |
6 | Lee, Y. B., Lee, H. J., Kim, M. S. and Choi, D. H., 2005, 'Sequential Approximate Optimization Based on a Pure Quadratic Response Surface Method with Noise Filtering,' Trans. of the KSME(A), Vol. 29, No. 6, pp. 842~851 과학기술학회마을 DOI ScienceOn |
7 | Shin, Y. S., Lee, Y. B., Ryu, J. S. and Choi, D. H., 2005, 'Sequential Approximate Optimization Using Kriging Metamodels,' Trans. of the KSME(A), Vol. 29, No. 9, pp. 1199-1208 과학기술학회마을 DOI |
8 | Sacks, J., Welch, W. J., Mitchell, T. J. and Wynn, H. P., 1989, 'Design and Analysis of Computer Experiments,' Stat. Sci., Vol. 4, No. 4, pp. 409~435 DOI ScienceOn |
9 | Koch, P. N., Simpson, T. W., Allen, J. K. and Mistree, F., 1999, 'Statistical Approximations for Multidisciplinary Design Optimization: The Problem of Size,' J. Aircr., Vol. 36, No. 1, pp. 275~286 DOI ScienceOn |
10 | Vadde, S., Allen, J. K. and Mistree, F., 1994, 'The Bayesian Compromise Decision Support Problem for Multilevel Design Involving Uncertainty,' ASME J. Mech. Des., Vol. 116, No. 2, pp. 388~395 DOI ScienceOn |
11 | Cho, S. S. and Joo, W. S., 2000, 'A Study on Fatigue Crack Growth and Life Modeling using Backpropagation Neural Networks,' Trans. of the KSME(A), Vol. 24, No. 3, pp. 634~644 과학기술학회마을 |
12 | Lophaven, S. N., Nielsen, H. B. and Sondergaard, J., 2002, DACE-A Matlab Kriging Toolbox-Version 2.0, Informatics and Mathematical Modelling, Technical University of Denmark, Kgs. Lyngby, Denmark, Rep. No. IMMREP-2002-12 |
13 | Vapnik, V., 1995, The Nature of Statistical Learning Theory, Springer-Verlag, New York |
14 | Cristianni, N. and Shawe-Taylor, J., 2000, An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods, Cambridge University Press, Cambridge, UK |
15 | Gere, J. M., 2003, Mechanics of Materials, 6th Edition, Thomson-Engineering |
16 | Barthelemy, J. F. M. and Haftka, R. T., 1993, 'Approximation Concepts for Optimal Structural Design-A Review,' Struct. Optim., Vol. 5, pp. 129~144 DOI |
17 | Haftka, R. T., Scott, E. P. and Cruz, J. R., 1998, 'Optimization and Experiments: A Survey,' Appl. Mech. Rev., Vol. 517, pp. 435~448 DOI ScienceOn |
18 | Perez, V. M., Renaud, J. E. and Watson, L. T., 2002, 'Adaptive Experimental Design for Construction of Response Surface Approximations,' AIAA J., Vol. 40, No. 12, pp. 2495~2503 DOI ScienceOn |
19 | Roache, P. J., 1998, Verification and Validation in Computational Science and Engineering, Hermosa Publishers, Albuquerque, NM |
20 | Baek, S. H., Hong, S. H., Cho, S. S. and Joo, W. S., 2004, 'Multi-objective Optimization in Discrete Design Space using RSM-Based Approximation Method,' The Third China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems (CJK-OSM3), Japan, pp. 125~130 |
21 | Baek, S. H., Cho, S. S. and Joo, W. S., 2009, 'Response Surface Approximation for Fatigue Life Prediction and Its Application to Multi-Criteria Optimization With a Priori Preference Information,' Trans. of the KSME(A), Vol. 33, No. 2, pp. 114~126 과학기술학회마을 DOI ScienceOn |
22 | Kashiwamura, T., Yu, Q. and Shiratori M., 1998, , Optimization of Nonlinear Problem Using Design of Experiment-Statistical Design Support System, Asakura Publishing Co., Ltd., Tokyo, pp. 94~104 |
23 | Jin, R., Chen, W. and Simpson, T. W., 2001, 'Comparative Studies of Metamodeling Techniques under Multiple Modeling Criteria,' Struct. Multidisc. Optim., Vol. 23, No. 1, pp. 1~13 DOI |
24 | Simpson, T. W., Mauery, T. M., Korte, J. J. and Mistree, F., 2001, 'Kriging Metamodels for Global Approximation in Simulation-based Multidisciplinary Design Optimization,' AIAA J., Vol. 39, No. 12, pp. 2233~2241 DOI ScienceOn |
25 | Clarke, S. M., Griebsch, J. H. and Simpson, T. W., 2005, 'Analysis of Support Vector Regression for Approximation of Complex Engineering Analyses,' ASME J. Mech. Des., Vol. 127, No. 6, pp. 1077~1087 DOI ScienceOn |
26 | ANSYS Workbench Release 11.0 Documentations, 2008, ANSYS Inc |
27 | Baek, S. H., Cho, S. S., Kim, H. S. and Joo, W. S., 2006, 'Tarde-off Analysis in Multi-objective Optimization Using Chebyshev Orthogonal Polynomials,' J. Mech. Sci. Technol., Vol. 20, No. 3, pp. 366~375 DOI ScienceOn |
28 | Baek, S. H., Hong, S. H., Joo, W. S., Kim, C. K., Jeong, Y. Y. and Shin, S. W., 2008, 'Optimization of Process Parameters for Mill Scale Recycling Using Taguchi Method,' J. KSPE, Vol. 25, No. 2, pp. 88~95 과학기술학회마을 |
29 | Wang, G. G. and Shan, S., 2007, 'Review of Metamodeling Techniques in Support of Engineering Design Optimization,' ASME J. Mech. Des., Vol. 129, No. 4, pp. 370~380 DOI ScienceOn |
30 | Kim, S. W., Jung, J. J. and Lee, T. H., 2007, 'Candidate Points and Representative Cross-Validation Approach for Sequential Sampling,' Trans. of the KSME(A), Vol. 31, No. 1, pp. 55~61 과학기술학회마을 DOI ScienceOn |
31 | Wang, G. G., 2003, 'Adaptive Response Surface Method Using Inherited Latin Hypercube Design Points,' ASME J. Mech. Des., Vol. 125, No. 2, pp. 210~220 DOI ScienceOn |
32 | Wang, G. G. and Simpson, T. W., 2004, 'Fuzzy Clustering Based Hierarchical Metamodeling for Space Reduction and Design Optimization,' Eng. Optimiz., Vol. 36, No. 3, pp. 313~335 DOI ScienceOn |