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2504.08721
Cited By
Surrogate-based optimization of system architectures subject to hidden constraints
11 April 2025
J. Bussemaker
P. Saves
N. Bartoli
T. Lefebvre
Björn Nagel
AI4CE
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Papers citing
"Surrogate-based optimization of system architectures subject to hidden constraints"
12 / 12 papers shown
Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration
Paul Saves
P. Palar
M. R
Nicolas Verstaevel
Moncef Garouani
Julien Aligon
Benoît Gaudou
K. Shimoyama
J. Morlier
163
5
0
19 Oct 2025
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
Advances in Engineering Software (Adv. Eng. Softw.), 2023
P. Saves
R. Lafage
N. Bartoli
Y. Diouane
J. Bussemaker
T. Lefebvre
John T. Hwang
J. Morlier
J. Martins
MoE
500
125
0
23 May 2023
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
Victor Picheny
Joel Berkeley
Henry B. Moss
Hrvoje Stojić
Uri Granta
...
Sergio Pascual-Diaz
Stratis Markou
Jixiang Qing
Nasrulloh Loka
Ivo Couckuyt
263
24
0
16 Feb 2023
Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles
Engineering applications of artificial intelligence (EAAI), 2022
Juliette Gamot
M. Balesdent
A. Tremolet
Romain Wuilbercq
N. Melab
El-Ghazali Talbi
225
19
0
21 Dec 2022
A mixed-categorical correlation kernel for Gaussian process
Neurocomputing (Neurocomputing), 2022
P. Saves
Y. Diouane
N. Bartoli
T. Lefebvre
J. Morlier
GP
344
34
0
15 Nov 2022
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
Alexander I. Cowen-Rivers
Wenlong Lyu
Rasul Tutunov
Zhi Wang
Antoine Grosnit
...
A. Maraval
Hao Jianye
Jun Wang
Jan Peters
H. Ammar
556
118
0
07 Dec 2020
Bayesian optimization of variable-size design space problems
Optimization and Engineering (Optim. Eng.), 2020
J. Pelamatti
Loïc Brevault
M. Balesdent
El-Ghazali Talbi
Yannick Guerin
269
33
0
06 Mar 2020
A First Analysis of Kernels for Kriging-based Optimization in Hierarchical Search Spaces
Parallel Problem Solving from Nature (PPSN), 2018
Martin Zaefferer
Daniel Horn
230
12
0
03 Jul 2018
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes
E.C. Garrido-Merchán
Daniel Hernández-Lobato
261
279
0
12 Jun 2017
Scalable Variational Gaussian Process Classification
International Conference on Artificial Intelligence and Statistics (AISTATS), 2014
J. Hensman
A. G. Matthews
Zoubin Ghahramani
BDL
571
705
0
07 Nov 2014
Bayesian Optimization with Unknown Constraints
Conference on Uncertainty in Artificial Intelligence (UAI), 2014
M. Gelbart
Jasper Snoek
Ryan P. Adams
257
516
0
22 Mar 2014
Manifold Gaussian Processes for Regression
IEEE International Joint Conference on Neural Network (IJCNN), 2014
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
625
289
0
24 Feb 2014
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