Cover Image

Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bartoli, Nathalie, Lefebvre, Thierry, Lafage, Rémi, Saves, Paul, Diouane, Youssef, Morlier, Joseph, Bussemaker, Jasper, Donelli, Giuseppa, de Mello, Joao Marcos Gomes, Mandorino, Massimo, Della Vecchia, Pierluigi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Optimization and Control Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility
by: Saves, Paul, et al.
Published: (2025)

System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems
by: Bussemaker, Jasper H., et al.
Published: (2025)

SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
by: Saves, Paul, et al.
Published: (2023)

High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
by: Saves, Paul, et al.
Published: (2023)

Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design
by: Grapin, Robin, et al.
Published: (2025)

A mixed-categorical correlation kernel for Gaussian process
by: Saves, P., et al.
Published: (2022)

Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design
by: Saves, Paul, et al.
Published: (2025)

Surrogate-based optimization of system architectures subject to hidden constraints
by: Bussemaker, Jasper, et al.
Published: (2025)

Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design
by: Saves, Paul, et al.
Published: (2025)

High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
by: Priem, Rémy, et al.
Published: (2025)

Transfer Learning in Bayesian Optimization for Aircraft Design
by: Tfaily, Ali, et al.
Published: (2026)

Multi-fidelity approaches for general constrained Bayesian optimization with application to aircraft design
by: Cordelier, Oihan, et al.
Published: (2026)

SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration
by: Robani, Mohammad Daffa, et al.
Published: (2025)

Frequency-aware Surrogate Modeling With SMT Kernels For Advanced Data Forecasting
by: Gonel, Nicolas, et al.
Published: (2025)

A distance for mixed-variable and hierarchical domains with meta variables
by: Hallé-Hannan, Edward, et al.
Published: (2024)

Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
by: Della Vecchia, Riccardo, et al.
Published: (2023)

Surrogate-based categorical neighborhoods for mixed-variable blackbox optimization
by: Audet, Charles, et al.
Published: (2026)

CatMADS: Mesh Adaptive Direct Search for constrained blackbox optimization with categorical variables
by: Audet, Charles, et al.
Published: (2025)

Interprocess Communication of Algebraic Data
by: Della Vecchia, Antony
Published: (2026)

Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction
by: Shihua, James M., et al.
Published: (2025)

Bayesian Algorithm for Collaborative Optimization with Application to Aircraft Design
by: Belhafnaoui, Mohamed Ali, et al.
Published: (2026)

Nonsmooth exact penalty methods for equality-constrained optimization: complexity and implementation
by: Diouane, Youssef, et al.
Published: (2024)

Error Propagation in Dynamic Programming: From Stochastic Control to Option Pricing
by: Della Vecchia, Andrea, et al.
Published: (2025)

Complexity of trust-region methods in the presence of unbounded Hessian approximations
by: Diouane, Youssef, et al.
Published: (2024)

A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization
by: Diouane, Youssef, et al.
Published: (2024)

High-dimensional multidisciplinary design optimization for aircraft eco-design / Optimisation multi-disciplinaire en grande dimension pour l'éco-conception avion en avant-projet
by: Saves, Paul
Published: (2024)

A Spectral Preconditioner for the Conjugate Gradient Method with Iteration Budget
by: Diouane, Youssef, et al.
Published: (2026)

A Stochastic Iteratively Regularized Gauss-Newton Method
by: Bergou, El Houcine, et al.
Published: (2024)

An Efficient Scaled spectral preconditioner for sequences of symmetric positive definite linear systems
by: Diouane, Youssef, et al.
Published: (2024)

Segmentation of the Homogeneity of a Signal Using a Piecewise Linear Recognition Tool
by: Morlier, Joseph
Published: (2005)

I Tachioni tra Fisica Teorica, Cosmologia e Implicazioni Filosofiche sulla Natura del Tempo
by: Makhloufi Donelli, Carlo
Published: (2026)

Talking the Talk of Culture and Sustainability
by: Donelli, Chiara Carolina
Published: (2026)

Talking the Talk of Culture and Sustainability
by: Donelli, Chiara Carolina
Published: (2025)

Journal of Aeronautical Materials
Published: (2016)

An Empirically Fast Las Vegas Algorithm for Algebraic Shifting
by: Della Vecchia, Antony, et al.
Published: (2025)

A FAIR File Format for Mathematical Software
by: Della Vecchia, Antony, et al.
Published: (2023)

Kernel Density Machines
by: Della Vecchia, Andrea, et al.
Published: (2025)

Partial Algebraic Shifting
by: Della Vecchia, Antony, et al.
Published: (2024)

Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations
by: Palar, Pramudita Satria, et al.
Published: (2025)

A Probabilistic U-Net Approach to Downscaling Climate Simulations
by: Alipourhajiagha, Maryam, et al.
Published: (2025)