Guillaume BRIFFOTEAUX
机构: Postdoctoral researcher, University of Newcastle, Australia
每年引用次数
引用次数
引用: 80
H-指数: 5
I10-指数 : 3
出版物: 17
Evolution Control for parallel ANN-assisted simulation-based optimization application to Tuberculosis Transmission Control
G. Briffoteaux , R. Ragonnet , M. Mezmaz , N. Melab
Future Generation Computer Systems 113 454 -467
2020
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 -111134
2024
Towards Dynamic Selection of Evolution Controls in Parallel Bayesian Neural Network-assisted Genetic Algorithm
Mohand Mezmaz , Nouredine Melab , Daniel Tuyttens , Romain Ragonnet
International Conference on Optimization and Learning (OLA2020)
2020
An Adaptive Evolution Control based on Confident Regions for Surrogate-assisted Optimization
Guillaume Briffoteaux , Nouredine Melab , Mohand Mezmaz , Daniel Tuyttens
2018 International Conference on High Performance Computing & Simulation (HPCS) 802 -809
2
2018
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO
Guillaume Briffoteaux , Maxime Gobert , Romain Ragonnet , Jan Gmys
Swarm and evolutionary computation 57 100717
21
2020
Optimising social mixing strategies to mitigate the impact of COVID-19 in six European countries: a mathematical modelling study
Romain Ragonnet , Guillaume Briffoteaux , Bridget M. Williams , Julian Savulescu
medRxiv
1
2020
Optimising social mixing strategies achieving COVID-19 herd immunity while minimising mortality in six European countries
Romain Ragonnet , Guillaume Briffoteaux , Bridget M Williams , Julian Savulescu
MedRxiv
9
2020
Comparing parallel surrogate-based and surrogate-free multi-objective optimization of COVID-19 vaccines allocation
Guillaume Briffoteaux , Romain Ragonnet , Pierre Tomenko , Mohand Mezmaz
Springer International Publishing 201 -212
2
2022
Evolution Control Ensemble Models for Surrogate-Assisted Evolutionary Algorithms
Guillaume Briffoteaux , Romain Ragonnet , Mohand Mezmaz , Nouredine Melab
High Performance Computing and Simulation 2020
2
2021
Hybrid Acquisition Processes in Surrogate-Based Optimization. Application to Covid-19 Contact Reduction
Guillaume Briffoteaux , Nouredine Melab , Mohand Mezmaz , Daniel Tuyttens
Springer International Publishing 127 -141
2022
Identification of the Parameter Values of the Constitutive and Friction Models in Machining Using EGO Algorithm: Application to Ti6Al4V
Nithyaraaj Kugalur Palanisamy , Edouard Rivière Lorphèvre , Maxime Gobert , Guillaume Briffoteaux
Metals 12 ( 6) 976 -976
9
2022
Identification of the Constitutive and Friction Models Parameters via a Multi-Objective Surrogate-Assisted Algorithm for the Modeling of Machining—Application to Arbitrary Lagrangian Eulerian Orthogonal Cutting of Ti6Al4V
Francois Ducobu , Nithyaraaj Kugalur-Palanisamy , Guillaume Briffoteaux , Maxime Gobert
Journal of Manufacturing Science and Engineering 146 ( 6)
2024
Parallel surrogate-based algorithms for solving expensive optimization problems
Guillaume Briffoteaux
Université de Lille; Université de Mons
5
2022
Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization
Maxime Gobert , Guillaume Briffoteaux , Jan Gmys , Nouredine Melab
Engineering Applications of Artificial Intelligence 137 109075 -109075
2024
Algorithmes parallèles et basés sur méta-modèles pour la résolution de problèmes d'optimisation coûteux
Guillaume Briffoteaux
2022
Parallel surrogate-based algorithms for solving expensive optimization problems.(Algorithmes parallèles et basés sur méta-modèles pour la résolution de problèmes d'optimisation coûteux).
Guillaume Briffoteaux
University of Lille, France
2022