Mathieu Balesdent

According to our database, Mathieu Balesdent authored at least 22 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Hidden-variables genetic algorithm for variable-size design space optimal layout problems with application to aerospace vehicles.

Juliette Gamot, Mathieu Balesdent, Arnault Tremolet, Romain Wuilbercq, Nouredine Melab, El-Ghazali Talbi

Eng. Appl. Artif. Intell., May, 2023

Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables.

Loïc Brevault, Mathieu Balesdent

CoRR, 2023

A Virtual-Force Based Swarm Algorithm for Balanced Circular Bin Packing Problems.

Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi

CoRR, 2023

Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems.

Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Component Swarm Optimization Using Virtual Forces for Solving Layout Problems.

Juliette Gamot, Romain Wuilbercq, Mathieu Balesdent, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi

Proceedings of the Swarm Intelligence - 13th International Conference, 2022

2021

Mixed Variable Gaussian Process-Based Surrogate Modeling Techniques: Application to Aerospace Design.

Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin

J. Aerosp. Inf. Syst., November, 2021

Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty.

Gabriel Sarazin, Jérôme Morio, Agnès Lagnoux, Mathieu Balesdent, Loïc Brevault

Reliab. Eng. Syst. Saf., 2021

2020

Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems.

Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin

Proceedings of the High-Performance Simulation-Based Optimization, 2020

Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities.

Loïc Brevault, Mathieu Balesdent, Ali Hebbal

CoRR, 2020

Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes.

Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab

CoRR, 2020

Bayesian optimization of variable-size design space problems.

Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin

CoRR, 2020

2019

Efficient global optimization of constrained mixed variable problems.

Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin

J. Glob. Optim., 2019

Bayesian Optimization using Deep Gaussian Processes.

Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab

CoRR, 2019

2018

Reliability-based sensitivity estimators of rare event probability in the presence of distribution parameter uncertainty.

Vincent Chabridon, Mathieu Balesdent, Jean-Marc Bourinet, Jérôme Morio, Nicolas Gayton

Reliab. Eng. Syst. Saf., 2018

Efficient Global Optimization using Deep Gaussian Processes.

Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab

CoRR, 2018

Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies.

Loïc Brevault, Mathieu Balesdent, Sébastien Defoort

Concurr. Eng. Res. Appl., 2018

Efficient Global Optimization Using Deep Gaussian Processes.

Ali Hebbal, Loïc Brevault, Mathieu Balesdent, Ei-Ghazali Taibi, Nouredine Melab

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2016

Analysis of multi-objective Kriging-based methods for constrained global optimization.

Cédric Durantin, Julien Marzat, Mathieu Balesdent

Comput. Optim. Appl., 2016

2015

Recommendations for the tuning of rare event probability estimators.

Mathieu Balesdent, Jérôme Morio, Julien Marzat

Reliab. Eng. Syst. Saf., 2015

A Multi-level Optimization Approach for the Planning of Heterogeneous Sensor Networks.

Mathieu Balesdent, Hélène Piet-Lahanier

Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2015

2014

A survey of rare event simulation methods for static input-output models.

Jérôme Morio, Mathieu Balesdent, Damien Jacquemart, Christelle Vergé

Simul. Model. Pract. Theory, 2014

2013

Optimisation of interacting particle systems for rare event estimation.

Jérôme Morio, Damien Jacquemart-Tomi, Mathieu Balesdent, Julien Marzat

Comput. Stat. Data Anal., 2013