-
1
-
-
3042592380
-
Mode-pursuing sampling method for global optimization on expensive black-box functions
-
10.1080/03052150410001686486
-
Wang L., Shan S., Wang G.G.: Mode-pursuing sampling method for global optimization on expensive black-box functions. Eng. Optim. 36(4), 419-438 (2004)
-
(2004)
Eng. Optim.
, vol.36
, Issue.4
, pp. 419-438
-
-
Wang, L.1
Shan, S.2
Wang, G.G.3
-
2
-
-
25144463079
-
A user's guide to the brave new world of designing simulation experiments
-
10.1287/ijoc.1050.0136
-
Kleijnen J.P.C., Sanchez S.M., Lucas T.W., Cioppa T.M.: A user's guide to the brave new world of designing simulation experiments. INFORMS J. Comput. 17(3), 263-289 (2005)
-
(2005)
INFORMS J. Comput.
, vol.17
, Issue.3
, pp. 263-289
-
-
Kleijnen, J.P.C.1
Sanchez, S.M.2
Lucas, T.W.3
Cioppa, T.M.4
-
3
-
-
27744559833
-
On the design of optimization strategies based on global response surface approximation models
-
10.1007/s10898-004-6733-1
-
Sóbester A., Leary S., Keane A.: On the design of optimization strategies based on global response surface approximation models. J. Glob. Optim. 33(1), 31-59 (2005)
-
(2005)
J. Glob. Optim.
, vol.33
, Issue.1
, pp. 31-59
-
-
Sóbester, A.1
Leary, S.2
Keane, A.3
-
4
-
-
78149259107
-
Design and analysis of computer experiments in multidisciplinary design optimization: A review of how far we have come - Or not
-
AIAA, Victoria, BC, Canada
-
Simpson, T.W., Toropov, V., Balabanov, V., Viana, F.A.C.: Design and analysis of computer experiments in multidisciplinary design optimization: a review of how far we have come - or not. In: 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA-2008-5802. AIAA, Victoria, BC, Canada (2008)
-
(2008)
12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA-2008-5802
-
-
Simpson, T.W.1
Toropov, V.2
Balabanov, V.3
Viana, F.A.C.4
-
5
-
-
58549086381
-
Recent advances in surrogate-based optimization
-
10.1016/j.paerosci.2008.11.001
-
Forrester A.I.J., Keane A.J.: Recent advances in surrogate-based optimization. Prog. Aerosp. Sci. 45(1-3), 50-79 (2009)
-
(2009)
Prog. Aerosp. Sci.
, vol.45
, Issue.1-3
, pp. 50-79
-
-
Forrester, A.I.J.1
Keane, A.J.2
-
6
-
-
80054993957
-
Making the most out of surrogate models: Tricks of the trade
-
DETC2010-28813, ASME, Montreal, QC, Canada
-
Viana, F.A.C., Gogu, C., Haftka, R.T.: Making the most out of surrogate models: tricks of the trade. In: ASME 2010 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, DETC2010-28813, ASME, Montreal, QC, Canada (2009)
-
(2009)
ASME 2010 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference
-
-
Viana, F.A.C.1
Gogu, C.2
Haftka, R.T.3
-
7
-
-
0000561424
-
Efficient global optimization of expensive black-box functions
-
10.1023/A:1008306431147
-
Jones D.R., Schonlau M., Welch W.J.: Efficient global optimization of expensive black-box functions. J. Glob. Optim. 13(4), 455-492 (1998)
-
(1998)
J. Glob. Optim.
, vol.13
, Issue.4
, pp. 455-492
-
-
Jones, D.R.1
Schonlau, M.2
Welch, W.J.3
-
8
-
-
0036979480
-
On sequential sampling for global metamodeling for in engineering design
-
DETC2002-34092. ASME, Montreal, QC, Canada
-
Jin, R., Chen, W., Sudjianto, A.: On sequential sampling for global metamodeling for in engineering design. In: ASME 2002 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, DETC2002-34092. ASME, Montreal, QC, Canada (2002)
-
(2002)
ASME 2002 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference
-
-
Jin, R.1
Chen, W.2
Sudjianto, A.3
-
9
-
-
33644791173
-
Global optimization of stochastic black-box systems via sequential kriging meta-models
-
10.1007/s10898-005-2454-3
-
Huang D., Allen T., Notz W., Zeng N.: Global optimization of stochastic black-box systems via sequential kriging meta-models. J. Glob. Optim. 34(3), 441-466 (2006)
-
(2006)
J. Glob. Optim.
, vol.34
, Issue.3
, pp. 441-466
-
-
Huang, D.1
Allen, T.2
Notz, W.3
Zeng, N.4
-
10
-
-
84865370537
-
An efficient sequential optimization approach based on the multivariate expected improvement criterion
-
10.1080/08982110701621312
-
Henkenjohann N., Kunert J.: An efficient sequential optimization approach based on the multivariate expected improvement criterion. Qual. Eng. 19(4), 267-280 (2007)
-
(2007)
Qual. Eng.
, vol.19
, Issue.4
, pp. 267-280
-
-
Henkenjohann, N.1
Kunert, J.2
-
11
-
-
55749088599
-
Clustered multiple generalized expected improvement: A novel infill sampling criterion for surrogate models
-
IEEE, Hong Kong
-
Ponweiser, W., Wagner, T., Vincze, M.: Clustered multiple generalized expected improvement: a novel infill sampling criterion for surrogate models. In: IEEE Congress on Evolutionary Computation, pp. 3514-3521. IEEE, Hong Kong (2008)
-
(2008)
IEEE Congress on Evolutionary Computation
, pp. 3514-3521
-
-
Ponweiser, W.1
Wagner, T.2
Vincze, M.3
-
12
-
-
0035577808
-
A taxonomy of global optimization methods based on response surfaces
-
10.1023/A:1012771025575
-
Jones D.R.: A taxonomy of global optimization methods based on response surfaces. J. Glob. Optim. 21(4), 345-383 (2001)
-
(2001)
J. Glob. Optim.
, vol.21
, Issue.4
, pp. 345-383
-
-
Jones, D.R.1
-
13
-
-
79959416527
-
Kriging is well-suited to parallelize optimization
-
Y. Tenne C. Goh (eds) Springer Heidelberg 10.1007/978-3-642-10701-6-6
-
Ginsbourger D., Le Riche R., Carraro L.: Kriging is well-suited to parallelize optimization. In: Tenne, Y., Goh, C. (eds) Computational Intelligence in Expensive Optimization Problems, vol. 2, pp. 131-162. Springer, Heidelberg (2010)
-
(2010)
Computational Intelligence in Expensive Optimization Problems, Vol. 2
, pp. 131-162
-
-
Ginsbourger, D.1
Le Riche, R.2
Carraro, L.3
-
14
-
-
43649089118
-
Multiple surrogate modeling for axial compressor blade shape optimization
-
10.2514/1.28999
-
Samad A., Kim K.Y., Goel T., Haftka R.T., Shyy W.: Multiple surrogate modeling for axial compressor blade shape optimization. J. Propuls. Power 24(2), 302-310 (2008)
-
(2008)
J. Propuls. Power
, vol.24
, Issue.2
, pp. 302-310
-
-
Samad, A.1
Kim, K.Y.2
Goel, T.3
Haftka, R.T.4
Shyy, W.5
-
15
-
-
70449406320
-
Using multiple surrogates for metamodeling
-
ISSMO, Bath, UK
-
Viana, F.A.C., Haftka, R.T.: Using multiple surrogates for metamodeling. In: 7th ASMO-UK ISSMO International Conference on Engineering Design Optimization, pp. 1-18. ISSMO, Bath, UK (2008)
-
(2008)
7th ASMO-UK ISSMO International Conference on Engineering Design Optimization
, pp. 1-18
-
-
Viana, F.A.C.1
Haftka, R.T.2
-
16
-
-
70449364091
-
Evolutionary model type selection for global surrogate modeling
-
Gorissen D., Dhaene T., de Turck F.: Evolutionary model type selection for global surrogate modeling. J. Mach. Learn. Res. 10(1), 2039-2078 (2009)
-
(2009)
J. Mach. Learn. Res.
, vol.10
, Issue.1
, pp. 2039-2078
-
-
Gorissen, D.1
Dhaene, T.2
De Turck, F.3
-
17
-
-
78649648608
-
Surrogate modeling for characterizing the performance of dielectric barrier discharge plasma actuator
-
10.1080/10618562.2010.521129
-
Cho Y.C., Jayaraman B., Viana F.A.C., Haftka R.T., Shyy W.: Surrogate modeling for characterizing the performance of dielectric barrier discharge plasma actuator. Int. J. Comput. Fluid Dyn. 24(7), 281-301 (2010)
-
(2010)
Int. J. Comput. Fluid Dyn.
, vol.24
, Issue.7
, pp. 281-301
-
-
Cho, Y.C.1
Jayaraman, B.2
Viana, F.A.C.3
Haftka, R.T.4
Shyy, W.5
-
18
-
-
0035269549
-
A radial basis function method for global optimization
-
10.1023/A:1011255519438
-
Gutmann H.M.: A radial basis function method for global optimization. J. Glob. Optim. 19(3), 201-227 (2001)
-
(2001)
J. Glob. Optim.
, vol.19
, Issue.3
, pp. 201-227
-
-
Gutmann, H.M.1
-
20
-
-
17444414416
-
Use of kriging models to approximate deterministic computer models
-
10.2514/1.8650
-
Martin J.D., Simpson T.W.: Use of kriging models to approximate deterministic computer models. AIAA J. 43(4), 853-863 (2005)
-
(2005)
AIAA J.
, vol.43
, Issue.4
, pp. 853-863
-
-
Martin, J.D.1
Simpson, T.W.2
-
21
-
-
0034094938
-
An alternative measure of the reliability of ordinary kriging estimates
-
10.1023/A:1007577916868
-
Yamamoto J.K.: An alternative measure of the reliability of ordinary kriging estimates. Math. Geol. 32(4), 489-509 (2000)
-
(2000)
Math. Geol.
, vol.32
, Issue.4
, pp. 489-509
-
-
Yamamoto, J.K.1
-
22
-
-
33645242168
-
The correct kriging variance estimated by bootstrapping
-
10.1057/palgrave.jors.2601997
-
den Hertog D., Kleijnen J.P.C., Siem A.Y.D.: The correct kriging variance estimated by bootstrapping. J. Oper. Res. Soc. 57(4), 400-409 (2006)
-
(2006)
J. Oper. Res. Soc.
, vol.57
, Issue.4
, pp. 400-409
-
-
Den Hertog, D.1
Kleijnen, J.P.C.2
Siem, A.Y.D.3
-
23
-
-
84879030036
-
Expected improvement in efficient global optimization through bootstrapped kriging
-
Kleijnen, J.P.C., van Beers, W.C.M., van Nieuwenhuyse, I.: Expected improvement in efficient global optimization through bootstrapped kriging. J. Glob. Optim. (available online), pp. 1-15 (2011)
-
(2011)
J. Glob. Optim. (Available Online)
, pp. 1-15
-
-
Kleijnen, J.P.C.1
Van Beers, W.C.M.2
Van Nieuwenhuyse, I.3
-
26
-
-
33646426415
-
Global response approximation with radial basis functions
-
10.1080/03052150500422294
-
Fang H., Horstemeyer M.F.: Global response approximation with radial basis functions. Eng. Optim. 38(4), 407-424 (2006)
-
(2006)
Eng. Optim.
, vol.38
, Issue.4
, pp. 407-424
-
-
Fang, H.1
Horstemeyer, M.F.2
-
27
-
-
64749096531
-
Comparing three error criteria for selecting radial basis function network topology
-
10.1016/j.cma.2009.02.016
-
Goel T., Stander N.: Comparing three error criteria for selecting radial basis function network topology. Comput. Methods Appl. Mech. Eng. 198(27-29), 2137-2150 (2009)
-
(2009)
Comput. Methods Appl. Mech. Eng.
, vol.198
, Issue.27-29
, pp. 2137-2150
-
-
Goel, T.1
Stander, N.2
-
28
-
-
0005996981
-
Algorithm 798: High-dimensional interpolation using the modified Shepard method
-
10.1145/326147.326154
-
Berry M.W., Minser K.S.: Algorithm 798: high-dimensional interpolation using the modified Shepard method. ACM Trans. Math. Softw. 25(3), 353-366 (1999)
-
(1999)
ACM Trans. Math. Softw.
, vol.25
, Issue.3
, pp. 353-366
-
-
Berry, M.W.1
Minser, K.S.2
-
29
-
-
77957596661
-
Algorithm 905: Sheppack: modified Shepard algorithm for interpolation of scattered multivariate data
-
10.1145/1824801.1824812
-
Thacker W.I., Zhang J., Watson L.T., Birch J.B., Iyer M.A., Berry M.W.: Algorithm 905: Sheppack: modified Shepard algorithm for interpolation of scattered multivariate data. ACM Trans. Math. Softw. 37(3), 1-20 (2010)
-
(2010)
ACM Trans. Math. Softw.
, vol.37
, Issue.3
, pp. 1-20
-
-
Thacker, W.I.1
Zhang, J.2
Watson, L.T.3
Birch, J.B.4
Iyer, M.A.5
Berry, M.W.6
-
31
-
-
4043137356
-
A tutorial on support vector regression
-
10.1023/B:STCO.0000035301.49549.88
-
Smola A.J., Schölkopf B.: A tutorial on support vector regression. Stat. Comput. 14(3), 199-222 (2004)
-
(2004)
Stat. Comput.
, vol.14
, Issue.3
, pp. 199-222
-
-
Smola, A.J.1
Schölkopf, B.2
-
32
-
-
84855617923
-
Importing uncertainty estimates from one surrogate to another
-
AIAA, Palm Springs, CA, USA
-
Viana, F.A.C., Haftka, R.T.: Importing uncertainty estimates from one surrogate to another. In: 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, pp. AIAA-2009-2237. AIAA, Palm Springs, CA, USA (2009)
-
(2009)
50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
-
-
Viana, F.A.C.1
Haftka, R.T.2
-
33
-
-
69949172900
-
Multiple surrogates: How cross-validation errors can help us to obtain the best predictor
-
10.1007/s00158-008-0338-0
-
Viana F.A.C., Haftka R.T., Steffen V. Jr: Multiple surrogates: how cross-validation errors can help us to obtain the best predictor. Struct. Multidiscip. Optim. 39(4), 439-457 (2009)
-
(2009)
Struct. Multidiscip. Optim.
, vol.39
, Issue.4
, pp. 439-457
-
-
Viana, F.A.C.1
Haftka, R.T.2
Steffen, Jr.V.3
-
34
-
-
10444244236
-
-
Tech. Rep. IMM-TR-2002-12, Technical University of Denmark, Denmark
-
Lophaven, S.N., Nielsen, H.B., Søndergaard, J.: Dace - a matlab kriging toolbox. Tech. Rep. IMM-TR-2002-12, Technical University of Denmark, Denmark (2002). Available at http://www2.imm.dtu.dk/~hbn/dace/
-
(2002)
Dace - A Matlab Kriging Toolbox
-
-
Lophaven, S.N.1
Nielsen, H.B.2
Søndergaard, J.3
-
35
-
-
0003876171
-
-
MathWorks contributors The MathWorks, Inc, Natick, MA, USA, version 7.0 release 14 edn.
-
MathWorks contributors: MATLAB The language of technical computing. The MathWorks, Inc, Natick, MA, USA, version 7.0 release 14 edn. (2004)
-
(2004)
MATLAB the Language of Technical Computing
-
-
-
37
-
-
84861345258
-
-
Gainesville, FL, USA, version 3.0 edn.
-
Viana, F.A.C.: SURROGATES Toolbox User's Guide. Gainesville, FL, USA, version 3.0 edn. (2011). Available at http://sites.google.com/site/ felipeacviana/surrogatestoolbox
-
(2011)
SURROGATES Toolbox User's Guide
-
-
Viana, F.A.C.1
-
39
-
-
85016031668
-
-
Ecole Nationale Supérieure des Mines de Saint-Etienne, France and University of Bern, Switzerland
-
Roustant, O. Ginsbourger, D., Deville, Y.: DiceKriging, DiceOptim: two R packages for the analysis of computer experiments by kriging-based metamodeling and optimization. Ecole Nationale Supérieure des Mines de Saint-Etienne, France and University of Bern, Switzerland (2010). Available at http://hal.archives-ouvertes.fr/hal-00495766/
-
(2010)
DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-based Metamodeling and Optimization
-
-
Roustant Ginsbourger, O.D.1
Deville, Y.2
-
40
-
-
0346250790
-
Practical selection of svm parameters and noise estimation for svm regression
-
10.1016/S0893-6080(03)00169-2
-
Cherkassky V., Ma Y.: Practical selection of svm parameters and noise estimation for svm regression. Neural Netw. 17(1), 113-126 (2004)
-
(2004)
Neural Netw.
, vol.17
, Issue.1
, pp. 113-126
-
-
Cherkassky, V.1
Ma, Y.2
-
41
-
-
0003861360
-
-
Master's thesis, University of Michigan, Ann Arbor, MI, USA
-
Sasena, M.J.: Optimization of computer simulations via smoothing splines and kriging metamodels. Master's thesis, University of Michigan, Ann Arbor, MI, USA (1998)
-
(1998)
Optimization of Computer Simulations Via Smoothing Splines and Kriging Metamodels
-
-
Sasena, M.J.1
-
43
-
-
0018468345
-
A comparison of three methods for selecting values of input variables from a computer code
-
McKay M.D., Beckman R.J., Conover W.J.: A comparison of three methods for selecting values of input variables from a computer code. Technometrics 21(2), 239-245 (1979)
-
(1979)
Technometrics
, vol.21
, Issue.2
, pp. 239-245
-
-
McKay, M.D.1
Beckman, R.J.2
Conover, W.J.3
-
45
-
-
0142000477
-
Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces
-
10.1023/A:1008202821328
-
Storn R., Price K.: Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 11(4), 341-359 (1997)
-
(1997)
J. Glob. Optim.
, vol.11
, Issue.4
, pp. 341-359
-
-
Storn, R.1
Price, K.2
-
46
-
-
34547747973
-
Improved global convergence probability using multiple independent optimizations
-
10.1002/nme.1960
-
Schutte J.F., Haftka R.T., Fregly B.J.: Improved global convergence probability using multiple independent optimizations. Int. J. Numer. Methods Eng. 71(6), 678-702 (2007)
-
(2007)
Int. J. Numer. Methods Eng.
, vol.71
, Issue.6
, pp. 678-702
-
-
Schutte, J.F.1
Haftka, R.T.2
Fregly, B.J.3
-
47
-
-
73649132299
-
Cross validation can estimate how well prediction variance correlates with error
-
10.2514/1.42162
-
Viana F.A.C., Haftka R.T.: Cross validation can estimate how well prediction variance correlates with error. AIAA J. 47(9), 2266-2270 (2009)
-
(2009)
AIAA J.
, vol.47
, Issue.9
, pp. 2266-2270
-
-
Viana, F.A.C.1
Haftka, R.T.2
-
48
-
-
0036806493
-
Computationally inexpensive metamodel assessment strategies
-
10.2514/2.1538
-
Meckesheimer M., Booker A.J., Barton R.R., Simpson T.W.: Computationally inexpensive metamodel assessment strategies. AIAA J. 40(10), 2053-2060 (2002)
-
(2002)
AIAA J.
, vol.40
, Issue.10
, pp. 2053-2060
-
-
Meckesheimer, M.1
Booker, A.J.2
Barton, R.R.3
Simpson, T.W.4
-
49
-
-
84950445313
-
Cross-validation of regression models
-
10.1080/01621459.1984.10478083
-
Picard R.R., Cook R.D.: Cross-validation of regression models. J. Am. Stat. Assoc. 79(387), 575-583 (1984)
-
(1984)
J. Am. Stat. Assoc.
, vol.79
, Issue.387
, pp. 575-583
-
-
Picard, R.R.1
Cook, R.D.2
-
50
-
-
33644860703
-
Bias in error estimation when using cross-validation for model selection
-
Varma S., Simon R.: Bias in error estimation when using cross-validation for model selection. BMC Bioinf. 7(91), 1290-1300 (2006)
-
(2006)
BMC Bioinf.
, vol.7
, Issue.91
, pp. 1290-1300
-
-
Varma, S.1
Simon, R.2
|