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Guillaume BRIFFOTEAUX
Guillaume BRIFFOTEAUX
Postdoctoral researcher, University of Newcastle, Australia
在 newcastle.edu.au 的电子邮件经过验证
标题
引用次数
引用次数
年份
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO
G Briffoteaux, M Gobert, R Ragonnet, J Gmys, M Mezmaz, N Melab, ...
Swarm and Evolutionary Computation 57, 100717, 2020
372020
Identification of the parameter values of the constitutive and friction models in machining using EGO algorithm: application to Ti6Al4V
N Kugalur Palanisamy, E Rivière Lorphèvre, M Gobert, G Briffoteaux, ...
Metals 12 (6), 976, 2022
132022
Evolution Control for parallel ANN-assisted simulation-based optimization application to Tuberculosis Transmission Control
G Briffoteaux, R Ragonnet, M Mezmaz, N Melab, D Tuyttens
Future Generation Computer Systems 113, 454-467, 2020
122020
Optimising social mixing strategies achieving COVID-19 herd immunity while minimising mortality in six European countries
R Ragonnet, G Briffoteaux, BM Williams, J Savulescu, M Segal, ...
MedRxiv, 2020
92020
Parallel surrogate-based algorithms for solving expensive optimization problems
G Briffoteaux
Université de Lille; Université de Mons, 2022
52022
Evolution control ensemble models for surrogate-assisted evolutionary algorithms
G Briffoteaux, R Ragonnet, M Mezmaz, N Melab, D Tuyttens
High Performance Computing and Simulation 2020, 2021
42021
Comparing parallel surrogate-based and surrogate-free multi-objective optimization of COVID-19 vaccines allocation
G Briffoteaux, R Ragonnet, P Tomenko, M Mezmaz, N Melab, D Tuyttens
International Conference on Optimization and Learning, 201-212, 2022
32022
Optimising social mixing strategies to mitigate the impact of COVID-19 in six European countries: A mathematical modelling study
R Ragonnet, G Briffoteaux, BM Williams, J Savulescu, M Segal, ...
medRxiv, 2020.08. 25.20182162, 2020
32020
Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization
M Gobert, G Briffoteaux, J Gmys, N Melab, D Tuyttens
Engineering Applications of Artificial Intelligence 137, 109075, 2024
22024
An adaptive evolution control based on confident regions for surrogate-assisted optimization
G Briffoteaux, N Melab, M Mezmaz, D Tuyttens
2018 International Conference on High Performance Computing & Simulation …, 2018
22018
Identification of the Constitutive and Friction Models Parameters via a Multi-Objective Surrogate-Assisted Algorithm for the Modeling of Machining—Application to Arbitrary …
F Ducobu, N Kugalur-Palanisamy, G Briffoteaux, M Gobert, D Tuyttens, ...
Journal of Manufacturing Science and Engineering 146 (6), 2024
12024
Algorithmes parallèles et basés sur méta-modèles pour la résolution de problèmes d'optimisation coûteux
G Briffoteaux
12022
Towards Target Derivatives-Enhanced Continued Fraction Regression
G Briffoteaux, A Ciezak, P Moscato
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024
2024
Investigating surrogate-based hybrid acquisition processes. Application to Covid-19 contact mitigation
G Briffoteaux, N Melab, M Mezmaz, D Tuyttens
Applied Soft Computing 151, 111134, 2024
2024
Hybrid Acquisition Processes in Surrogate-Based Optimization. Application to Covid-19 Contact Reduction
G Briffoteaux, N Melab, M Mezmaz, D Tuyttens
International Conference on Bioinspired Optimization Methods and Their …, 2022
2022
Parallel surrogate-based algorithms for solving expensive optimization problems.(Algorithmes parallèles et basés sur méta-modèles pour la résolution de problèmes d'optimisation …
G Briffoteaux
University of Lille, France, 2022
2022
Towards Dynamic Selection of Evolution Controls in Parallel Bayesian Neural Network-assisted Genetic Algorithm
G Briffoteaux, R Ragonnet, M Mezmaz, N Melab, D Tuyttens
OLA'2020-International Conference on Optimization and Learning, 2020
2020
Enhancing Continued Fraction Regression Via Target Function Derivatives
G Briffoteaux, A Ciezak, P Moscato
Available at SSRN 5060056, 0
Docteur en Sciences de l’Ingénieur et Technologies de l’Université de Mons Docteur en Informatique et Applications de l’Université de Lille
G Briffoteaux
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