On the Design of Optimization Strategies Based on Global Response Surface Approximation Models
Tóm tắt
Từ khóa
Tài liệu tham khảo
Audet, C., Dennis, J.E., Moore, D.W., Booker, A. and Frank P.D. (2000), A surrogate-model-based method for constrained optimization, In: 8th Proceedings of the AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Long Beach, CA.
M. Björkman, 1999, Advanced Modeling and Optimization, 1, 17
Dixon, L.C.W. and Szegö, G. (1978), The Global optimization problem: an introduction, In Dixon, L.C.W. and Szego, G. (EDS.), Towards Global Optimization, North Holland, Amsterdam, 2, pp. 1–15.
A.V. Fiacco, 1968, Nonlinear Programming: Sequential Unconstrained Minimization Techniques
Gibbs, M.N. (1997), Bayesian Gaussian Processes for Regression and Classification, PhD thesis, University of Cambridge.
M.D. Mackay, 1979, Technometrics, 21, 239
Mockus, J., Tiesis, V. and Zilinskas, A. (1978), The application of bayesian methods for seeking the extremum, Towards Global Optimization, North Holland, Amsterdam, 2, 117–129.
D. Montgomery, 2000, Design and Analysis of Experiments, 5th edn
Renton, J.D. (1999), Elastic Beams and Frames, Camford Books.
Schonlau, M. (1997), Computer Experiments and Global Optimization, PhD thesis, University of Waterloo, Canada.
A. Sóbester, 2004, Structural and Multidisciplinary Optimization, 27, 371, 10.1007/s00158-004-0397-9
Trosset, M.W. and Torczon V. (1997), Numerical optimization using computer experiments, technical report TR-97-38, ICASE, NASA Langley Research Center, Hampton, Virginia.