Youssef Diouane
Orcid: 0000-0002-6609-7330
According to our database1,
Youssef Diouane
authored at least 38 papers
between 2014 and 2025.
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Bibliography
2025
System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility.
CoRR, July, 2025
CoRR, June, 2025
Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications.
CoRR, April, 2025
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design.
CoRR, April, 2025
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design.
CoRR, April, 2025
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm.
CoRR, April, 2025
CoRR, February, 2025
2024
Comput. Optim. Appl., June, 2024
SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes.
Adv. Eng. Softw., February, 2024
Impact of correlated observation errors on the conditioning of variational data assimilation problems.
Numer. Linear Algebra Appl., January, 2024
An Efficient Scaled spectral preconditioner for sequences of symmetric positive definite linear systems.
CoRR, 2024
CoRR, 2024
CoRR, 2024
A general error analysis for randomized low-rank approximation with application to data assimilation.
CoRR, 2024
2023
J. Glob. Optim., May, 2023
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft.
CoRR, 2023
2022
INFORMS J. Optim., October, 2022
SIAM/ASA J. Uncertain. Quantification, 2022
Impact of correlated observation errors on the convergence of the conjugate gradient algorithm in variational data assimilation.
CoRR, 2022
An outer approximation bi-level framework for mixed categorical structural optimization problems.
CoRR, 2022
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems.
SIAM J. Sci. Comput., 2021
Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure.
Optim. Lett., 2021
Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization.
J. Optim. Theory Appl., 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Convergence and Complexity Analysis of a Levenberg-Marquardt Algorithm for Inverse Problems.
J. Optim. Theory Appl., 2020
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems.
CoRR, 2020
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design.
CoRR, 2020
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design.
CoRR, 2020
2018
A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis.
J. Optim. Theory Appl., 2018
2017
On the use of the energy norm in trust-region and adaptive cubic regularization subproblems.
Comput. Optim. Appl., 2017
2015
Comput. Optim. Appl., 2015
2014
Des stratégies évolutionnaires globalement convergentes avec une application en imagerie sismique pour la géophysique. (Globally convergent evolution strategies with application to Earth imaging problem in geophysics).
PhD thesis, 2014