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Bayesian optimization of variable-size design space problems

Bayesian optimization of variable-size design space problems

Optimization and Engineering (Optim. Eng.), 2020
6 March 2020
J. Pelamatti
Loïc Brevault
M. Balesdent
El-Ghazali Talbi
Yannick Guerin
ArXiv (abs)PDFHTML

Papers citing "Bayesian optimization of variable-size design space problems"

10 / 10 papers shown
Flow Battery Manifold Design with Heterogeneous Inputs Through Generative Adversarial Neural Networks
Flow Battery Manifold Design with Heterogeneous Inputs Through Generative Adversarial Neural Networks
Eric Seng
Hugh O'Connor
Adam Boyce
Josh J. Bailey
Anton van Beek
AI4CE
240
0
0
12 Aug 2025
Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design
Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design
P. Saves
Edward Hallé-Hannan
J. Bussemaker
Y. Diouane
N. Bartoli
AI4CE
217
0
0
27 Jun 2025
Surrogate-based optimization of system architectures subject to hidden constraints
Surrogate-based optimization of system architectures subject to hidden constraints
J. Bussemaker
P. Saves
N. Bartoli
T. Lefebvre
Björn Nagel
AI4CE
1.0K
7
0
11 Apr 2025
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and
  Mixed Variables Gaussian Processes
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian ProcessesAdvances 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
478
120
0
23 May 2023
Learning non-stationary and discontinuous functions using clustering,
  classification and Gaussian process modelling
Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling
M. Moustapha
Bruno Sudret
141
11
0
30 Nov 2022
Fully Bayesian inference for latent variable Gaussian process models
Fully Bayesian inference for latent variable Gaussian process models
Suraj Yerramilli
Akshay Iyer
Wei Chen
D. Apley
241
7
0
04 Nov 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic
  Reparameterization
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic ReparameterizationNeural Information Processing Systems (NeurIPS), 2022
Sam Daulton
Xingchen Wan
David Eriksson
Maximilian Balandat
Michael A. Osborne
E. Bakshy
241
58
0
18 Oct 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian OptimizationACM Computing Surveys (ACM CSUR), 2022
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
383
458
0
07 Jun 2022
Multi-objective robust optimization using adaptive surrogate models for
  problems with mixed continuous-categorical parameters
Multi-objective robust optimization using adaptive surrogate models for problems with mixed continuous-categorical parametersStructural And Multidisciplinary Optimization (SMO), 2022
M. Moustapha
A. Galimshina
G. Habert
Bruno Sudret
235
16
0
03 Mar 2022
Multidisciplinary Design Optimization of Reusable Launch Vehicles for
  Different Propellants and Objectives
Multidisciplinary Design Optimization of Reusable Launch Vehicles for Different Propellants and ObjectivesJournal of Spacecraft and Rockets (JSR), 2020
Kai Dresia
Simon Jentzsch
Günther Waxenegger-Wilfing
R. Hahn
J. Deeken
M. Oschwald
F. Mota
193
24
0
03 Sep 2020
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