Mathieu Balesdent

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Swarm Intelligence

Gaussian Process

Optimization Problems

Constrained Global Optimization

Top Venues

Reliab. Eng. Syst. Saf.

Eng. Appl. Artif. Intell.

Publications

Loïc Brevault, Mathieu Balesdent
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables. Eng. Appl. Artif. Intell. 133 (2024)
Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi
Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems. GECCO Companion (2023)
Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi
A Virtual-Force Based Swarm Algorithm for Balanced Circular Bin Packing Problems. CoRR (2023)
Juliette Gamot, Mathieu Balesdent, Arnault Tremolet, Romain Wuilbercq, Nouredine Melab, El-Ghazali Talbi
Hidden-variables genetic algorithm for variable-size design space optimal layout problems with application to aerospace vehicles. Eng. Appl. Artif. Intell. 121 (2023)
Loïc Brevault, Mathieu Balesdent
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables. CoRR (2023)
Juliette Gamot, Mathieu Balesdent, Arnault Tremolet, Romain Wuilbercq, Nouredine Melab, El-Ghazali Talbi
Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles. CoRR (2022)
Juliette Gamot, Romain Wuilbercq, Mathieu Balesdent, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi
Component Swarm Optimization Using Virtual Forces for Solving Layout Problems. ANTS Conference (2022)
Gabriel Sarazin, Jérôme Morio, Agnès Lagnoux, Mathieu Balesdent, Loïc Brevault
Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty. Reliab. Eng. Syst. Saf. 215 (2021)
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
Mixed Variable Gaussian Process-Based Surrogate Modeling Techniques: Application to Aerospace Design. J. Aerosp. Inf. Syst. 18 (11) (2021)
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
Bayesian optimization of variable-size design space problems. CoRR (2020)
Loïc Brevault, Mathieu Balesdent, Ali Hebbal
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities. CoRR (2020)
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes. CoRR (2020)
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab
Bayesian Optimization using Deep Gaussian Processes. CoRR (2019)
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
Efficient global optimization of constrained mixed variable problems. J. Glob. Optim. 73 (3) (2019)
Vincent Chabridon, Mathieu Balesdent, Jean-Marc Bourinet, Jérôme Morio, Nicolas Gayton
Reliability-based sensitivity estimators of rare event probability in the presence of distribution parameter uncertainty. Reliab. Eng. Syst. Saf. 178 (2018)
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab
Efficient Global Optimization using Deep Gaussian Processes. CoRR (2018)
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, Ei-Ghazali Taibi, Nouredine Melab
Efficient Global Optimization Using Deep Gaussian Processes. CEC (2018)
Loïc Brevault, Mathieu Balesdent, Sébastien Defoort
Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies. Concurr. Eng. Res. Appl. 26 (1) (2018)
Cédric Durantin, Julien Marzat, Mathieu Balesdent
Analysis of multi-objective Kriging-based methods for constrained global optimization. Comput. Optim. Appl. 63 (3) (2016)
Mathieu Balesdent, Jérôme Morio, Julien Marzat
Recommendations for the tuning of rare event probability estimators. Reliab. Eng. Syst. Saf. 133 (2015)
Mathieu Balesdent, Hélène Piet-Lahanier
A Multi-level Optimization Approach for the Planning of Heterogeneous Sensor Networks. MCO (2) (2015)
Jérôme Morio, Mathieu Balesdent, Damien Jacquemart, Christelle Vergé
A survey of rare event simulation methods for static input-output models. Simul. Model. Pract. Theory 49 (2014)
Jérôme Morio, Damien Jacquemart-Tomi, Mathieu Balesdent, Julien Marzat
Optimisation of interacting particle systems for rare event estimation. Comput. Stat. Data Anal. 66 (2013)