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2020 – today
- 2024
[j6]Loïc Brevault, Mathieu Balesdent:
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables. Eng. Appl. Artif. Intell. 133: 108118 (2024)- [i7]Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret:
A survey on multi-fidelity surrogates for simulators with functional outputs: unified framework and benchmark. CoRR abs/2408.17075 (2024) - 2023
- [i6]Loïc Brevault, Mathieu Balesdent:
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables. CoRR abs/2310.05955 (2023) - 2021
- [j5]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): 813-837 (2021) - [j4]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: 107733 (2021) - 2020
- [p1]Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin:
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 2020: 189-224 - [i5]Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin:
Bayesian optimization of variable-size design space problems. CoRR abs/2003.03300 (2020) - [i4]Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab:
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes. CoRR abs/2006.15924 (2020) - [i3]Loïc Brevault, Mathieu Balesdent, Ali Hebbal:
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities. CoRR abs/2006.16728 (2020)
2010 – 2019
- 2019
- [j3]Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin:
Efficient global optimization of constrained mixed variable problems. J. Glob. Optim. 73(3): 583-613 (2019) - [i2]Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab:
Bayesian Optimization using Deep Gaussian Processes. CoRR abs/1905.03350 (2019) - 2018
- [j2]Loïc Brevault, Mathieu Balesdent, Sébastien Defoort:
Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies. Concurr. Eng. Res. Appl. 26(1): 93-103 (2018) - [c1]Ali Hebbal, Loïc Brevault, Mathieu Balesdent, Ei-Ghazali Taibi, Nouredine Melab:
Efficient Global Optimization Using Deep Gaussian Processes. CEC 2018: 1-8 - [i1]Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab:
Efficient Global Optimization using Deep Gaussian Processes. CoRR abs/1809.04632 (2018) - 2015
- [b1]Loïc Brevault:
Contributions to multidisciplinary design optimization under uncertainty, application to launch vehicle design. (Contributions à l'optimisation multidisciplinaire sous incertitudes, application à la conception de lanceurs). École nationale supérieure des mines de Saint-Étienne, France, 2015 - 2013
- [j1]Joseph Homer Saleh, Elizabeth A. Saltmarsh, Francesca M. Favarò, Loïc Brevault:
Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems. Reliab. Eng. Syst. Saf. 114: 148-154 (2013)
Coauthor Index
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