Surrogate-based optimization of system architectures subject to hidden constraints

Surrogate-based optimization of system architectures subject to hidden constraints

11 April 2025

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Papers citing "Surrogate-based optimization of system architectures subject to hidden constraints"

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Title
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes P. Saves R. Lafage N. Bartoli Y. Diouane J. Bussemaker T. Lefebvre John T. Hwang J. Morlier J. Martins MoE 49 69 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 63 17 0 16 Feb 2023
Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles Juliette Gamot M. Balesdent A. Tremolet Romain Wuilbercq N. Melab El-Ghazali Talbi 48 14 0 21 Dec 2022
A mixed-categorical correlation kernel for Gaussian process P. Saves Y. Diouane N. Bartoli T. Lefebvre J. Morlier GP 47 20 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 86 80 0 07 Dec 2020
Bayesian optimization of variable-size design space problems J. Pelamatti Loïc Brevault M. Balesdent El-Ghazali Talbi Yannick Guerin 76 29 0 06 Mar 2020
A First Analysis of Kernels for Kriging-based Optimization in Hierarchical Search Spaces Martin Zaefferer Daniel Horn 26 10 0 03 Jul 2018
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes E.C. Garrido-Merchán Daniel Hernández-Lobato 107 232 0 12 Jun 2017
Scalable Variational Gaussian Process Classification J. Hensman A. G. Matthews Zoubin Ghahramani BDL 75 645 0 07 Nov 2014
Bayesian Optimization with Unknown Constraints M. Gelbart Jasper Snoek Ryan P. Adams 93 450 0 22 Mar 2014
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 170 274 0 24 Feb 2014