Mathieu Balesdent

26 papers B 1Journal 21Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multifidelity Bayesian Sequential Optimization and Reliability Assessment for Aerospace Systems Design.
J. Aerosp. Inf. Syst.
Romain Espoeys, Loïc Brevault, Mathieu Balesdent, Sophie Ricci, Paul Mycek
2024 J jnl
A survey on multi-fidelity surrogates for simulators with functional outputs: unified framework and benchmark.
CoRR
Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret
2024 J jnl
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables.
Eng. Appl. Artif. Intell.
Loïc Brevault, Mathieu Balesdent
2023 J jnl
A Virtual-Force Based Swarm Algorithm for Balanced Circular Bin Packing Problems.
CoRR
Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi
2023 J jnl
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables.
CoRR
Loïc Brevault, Mathieu Balesdent
2023 J jnl
Hidden-variables genetic algorithm for variable-size design space optimal layout problems with application to aerospace vehicles.
Eng. Appl. Artif. Intell.
Juliette Gamot, Mathieu Balesdent, Arnault Tremolet, Romain Wuilbercq, Nouredine Melab, El-Ghazali Talbi
2023 — conf
Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems.
GECCO Companion
Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi
2022 — conf
Component Swarm Optimization Using Virtual Forces for Solving Layout Problems.
ANTS Conference
Juliette Gamot, Romain Wuilbercq, Mathieu Balesdent, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi
2022 J jnl
Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles.
CoRR
Juliette Gamot, Mathieu Balesdent, Arnault Tremolet, Romain Wuilbercq, Nouredine Melab, El-Ghazali Talbi
2021 J jnl
Mixed Variable Gaussian Process-Based Surrogate Modeling Techniques: Application to Aerospace Design.
J. Aerosp. Inf. Syst.
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
2021 J jnl
Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty.
Reliab. Eng. Syst. Saf.
Gabriel Sarazin, Jérôme Morio, Agnès Lagnoux, Mathieu Balesdent, Loïc Brevault
2020 J jnl
Bayesian optimization of variable-size design space problems.
CoRR
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
2020 J jnl
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes.
CoRR
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab
2020 — ch.
Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems.
High-Performance Simulation-Based Optimization
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
2020 J jnl
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities.
CoRR
Loïc Brevault, Mathieu Balesdent, Ali Hebbal
2019 J jnl
Bayesian Optimization using Deep Gaussian Processes.
CoRR
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab
2019 J jnl
Efficient global optimization of constrained mixed variable problems.
J. Glob. Optim.
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
2018 B conf
Efficient Global Optimization Using Deep Gaussian Processes.
CEC
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, Ei-Ghazali Taibi, Nouredine Melab
2018 J jnl
Efficient Global Optimization using Deep Gaussian Processes.
CoRR
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab
2018 J jnl
Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies.
Concurr. Eng. Res. Appl.
Loïc Brevault, Mathieu Balesdent, Sébastien Defoort
2018 J jnl
Reliability-based sensitivity estimators of rare event probability in the presence of distribution parameter uncertainty.
Reliab. Eng. Syst. Saf.
Vincent Chabridon, Mathieu Balesdent, Jean-Marc Bourinet, Jérôme Morio, Nicolas Gayton
2016 J jnl
Analysis of multi-objective Kriging-based methods for constrained global optimization.
Comput. Optim. Appl.
Cédric Durantin, Julien Marzat, Mathieu Balesdent
2015 — conf
A Multi-level Optimization Approach for the Planning of Heterogeneous Sensor Networks.
MCO (2)
Mathieu Balesdent, Hélène Piet-Lahanier
2015 J jnl
Recommendations for the tuning of rare event probability estimators.
Reliab. Eng. Syst. Saf.
Mathieu Balesdent, Jérôme Morio, Julien Marzat
2014 J jnl
A survey of rare event simulation methods for static input-output models.
Simul. Model. Pract. Theory
Jérôme Morio, Mathieu Balesdent, Damien Jacquemart, Christelle Vergé
2013 J jnl
Optimisation of interacting particle systems for rare event estimation.
Comput. Stat. Data Anal.
Jérôme Morio, Damien Jacquemart-Tomi, Mathieu Balesdent, Julien Marzat