You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
[Towards an efficient global multi-disciplinary design optimization algorithm](https://doi.org/10.1007/s00158-020-02514-6)
208
208
Structural and Multidisciplinary Optimization, 62(4), 1739–1765.
209
209
210
-
Jin, R. and Chen, W. and Sudjianto, A. (2005),
210
+
Jin, R. and Chen, W. and Sudjianto, A. (2005).
211
211
[An efficient algorithm for constructing optimal design of computer experiments](https://doi.org/10.1016/j.jspi.2004.02.01) Journal of Statistical Planning and Inference, 134:268-287.
212
212
213
-
Bettebghor, Dimitri, et al.
213
+
Bettebghor, Dimitri, et al. (2011).
214
214
[Surrogate modeling approximation using a mixture of experts based on EM joint estimation](https://hal.archives-ouvertes.fr/hal-01852300/document)
215
215
Structural and multidisciplinary optimization 43.2 (2011): 243-259.
216
216
217
217
Jones, D. R., Schonlau, M., & Welch, W. J. (1998).
218
218
[Efficient global optimization of expensive black-box functions. Journal of Global Optimization](https://www.researchgate.net/publication/235709802_Efficient_Global_Optimization_of_Expensive_Black-Box_Functions), 13(4), 455–492.
219
219
220
-
Diouane, Youssef, et al. [TREGO: a trust-region framework for efficient global optimization](https://arxiv.org/pdf/2101.06808).
220
+
Diouane, Youssef, et al. (2023).
221
+
[TREGO: a trust-region framework for efficient global optimization](https://arxiv.org/pdf/2101.06808).
221
222
Journal of Global Optimization 86.1 (2023): 1-23.
222
223
223
-
Priem, Rémy, Nathalie Bartoli, and Youssef Diouane.
224
+
Priem, Rémy, Nathalie Bartoli, and Youssef Diouane. (2019)
224
225
[On the use of upper trust bounds in constrained Bayesian optimization infill criteria](https://hal.science/hal-02182492v1/file/Priem_24049.pdf).
225
226
AIAA aviation 2019 forum. 2019.
226
227
227
-
Sasena M., Papalambros P., Goovaerts P., 2002.
228
+
Sasena M., Papalambros P., Goovaerts P., (2002).
228
229
[Global optimization of problems with disconnected feasible regions via surrogate modeling](https://deepblue.lib.umich.edu/handle/2027.42/77089).
229
230
AIAA Paper.
230
231
@@ -234,27 +235,28 @@ Ginsbourger, D., Le Riche, R., & Carraro, L. (2010).
234
235
E.C. Garrido-Merchan and D. Hernandez-Lobato.
235
236
[Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes](https://arxiv.org/pdf/1805.03463).
236
237
237
-
Zhan, Dawei, et al.
238
-
[A cooperative approach to efficient global optimization](https://link.springer.com/article/10.1007/s10898-023-01316-6). Journal of Global Optimization 88.2 (2024): 327-357
238
+
Zhan, Dawei, et al. (2024).
239
+
[A cooperative approach to efficient global optimization](https://link.springer.com/article/10.1007/s10898-023-01316-6).
240
+
Journal of Global Optimization 88.2 (2024): 327-357
239
241
240
-
Lisa Pretsch et al.
242
+
Lisa Pretsch et al. (2025)
241
243
[Bayesian optimization of cooperative components for multi-stage aero-structural compressor blade design](https://www.researchgate.net/publication/391492598_Bayesian_optimization_of_cooperative_components_for_multi-stage_aero-structural_compressor_blade_design). Struct Multidisc Optim 68, 84 (2025)
242
244
243
-
Appriou, T., Rullière, D. & Gaudrie, D,
245
+
Appriou, T., Rullière, D. & Gaudrie, D, (2024)
244
246
[Combination of optimization-free kriging models for high-dimensional problems](https://doi.org/10.1007/s00180-023-01424-7),
245
247
Comput Stat 39, 3049–3071 (2024).
246
248
247
-
S. Ament, S. Daulton, D. Eriksson, M. Balandat, E. Bakshy,
249
+
S. Ament, S. Daulton, D. Eriksson, M. Balandat, E. Bakshy, (2023).
248
250
[Unexpected improvements to expected improvement for bayesian optimization](https://arxiv.org/pdf/2310.20708),
249
251
Advances in Neural Information Processing Systems, 2023
250
252
251
253
Marrel, A., & Iooss, B. (2024).
252
254
[Probabilistic surrogate modeling by Gaussian process: A review on recent insights in estimation and validation.](https://www.sciencedirect.com/science/article/pii/S0951832024001686?casa_token=l-YuUssKYfsAAAAA:WpEZkMh7bf0Ago2rDi0I_E5BydKDTmjluPOP0KfAratwka89IRqu09U1J6OnpG1gc_8FIafRzA)
253
255
Reliability Engineering & System Safety, 247, 110094.
254
256
255
-
Bussemaker, Jasper H., et al. (2024)
257
+
Bussemaker, Jasper H., et al. (2024).
256
258
[Surrogate-based optimization of system architectures subject to hidden constraints.](https://hal.science/hal-04462408v2/file/DTIS2024-018-DTIS2024-018%20posprint-Accept%C3%A9e.pdf)
0 commit comments