Profil

Briffoteaux Guillaume

Université de Mons - UMONS > Faculté Polytechnique > Service de Mathématique et Recherche opérationnelle

Université de Mons - UMONS > Faculté Polytechnique > Mathématique et Recherche opérationnelle

ORCID
0000-0002-4878-2000
Main Referenced Co-authors
TUYTTENS, Daniel  (10)
Melab, Nouredine (7)
MEZMAZ, Mohand  (6)
Ragonnet, Romain (5)
GOBERT, Maxime  (3)
Main Referenced Keywords
Acquisition process (2); Computer Science (all) (2); Optimisations (2); Parallel com- puting (2); Simulation (2);
Main Referenced Disciplines
Computer science (8)
Mathematics (6)
Mechanical engineering (2)

Publications (total 12)

The most downloaded
48 downloads
KUGALUR PALANISAMY, N., RIVIERE LORPHEVRE, E., Gobert, M., Briffoteaux, G., Tuyttens, D., Arrazola, P.-J., & DUCOBU, F. (06 June 2022). Identification of the Parameter Values of the Constitutive and Friction Models in Machining Using EGO Algorithm: Application to Ti6Al4V. Metals, 12 (6), 976. doi:10.3390/met12060976 https://hdl.handle.net/20.500.12907/43110

The most cited

20 citations (Scopus®)

Briffoteaux, G., Gobert, M., Ragonnet, R., Gmys, J., Mezmaz, M., Melab, N., & Tuyttens, D. (2020). Parallel Surrogate-assisted Optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO. Swarm and Evolutionary Computation. https://hdl.handle.net/20.500.12907/8135

Ducobu, F., Kugalur-Palanisamy, N., Briffoteaux, G., Gobert, M., Tuyttens, D., Arrazola, P.-J., & Rivière, E. (16 April 2024). 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. Journal of Manufacturing Science and Engineering, 146 (6). doi:10.1115/1.4065223
Peer Reviewed verified by ORBi

Briffoteaux, G., Melab, N., Mezmaz, M., & Tuyttens, D. (2024). Investigating surrogate-based hybrid acquisition processes. Application to Covid-19 contact mitigation. Applied Soft Computing, 151, 111134. doi:10.1016/j.asoc.2023.111134
Peer Reviewed verified by ORBi

Briffoteaux, G. (2022). Parallel surrogate-based algorithms for solving expensive optimization problems [Doctoral thesis, UMONS - Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/44381

KUGALUR PALANISAMY, N., RIVIERE LORPHEVRE, E., Gobert, M., Briffoteaux, G., Tuyttens, D., Arrazola, P.-J., & DUCOBU, F. (06 June 2022). Identification of the Parameter Values of the Constitutive and Friction Models in Machining Using EGO Algorithm: Application to Ti6Al4V. Metals, 12 (6), 976. doi:10.3390/met12060976
Peer Reviewed verified by ORBi

Briffoteaux, G. (2022). pySBO , Python platform for Surrogate-Based Optimization.

Briffoteaux, G., Melab, N., Mezmaz, M., & Tuyttens, D. (2022). Hybrid Acquisition Processes in Surrogate-Based Optimization. Application to Covid-19 Contact Reduction. In M. Mernik & M. Črepinšek (Eds.), Bioinspired Optimization Methods and Their Applications - 10th International Conference, BIOMA 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-21094-5_10
Peer reviewed

Briffoteaux, G., Ragonnet, R., Tomenko, P., Mezmaz, M., Melab, N., & Tuyttens, D. (2022). Comparing Parallel Surrogate-Based and Surrogate-Free Multi-objective Optimization of COVID-19 Vaccines Allocation. In B. Dorronsoro (Ed.), Optimization and Learning - 5th International Conference, OLA 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-22039-5_16
Peer reviewed

Briffoteaux, G., Ragonnet, R., Mezmaz, M., Melab, N., & Tuyttens, D. (2021). Evolution Control Ensemble Models for Surrogate-Assisted Evolutionary Algorithms. In HPCS proceedings. IEEE.
Peer reviewed

Briffoteaux, G., Ragonnet, R., Mezmaz, M., Melab, N., & Tuyttens, D. (22 July 2020). Evolution Control for parallel ANN-assisted simulation-based optimization: Application to Tuberculosis Transmission Control. Future Generation Computer Systems, 113 (December 2020), 454-467. doi:10.1016/j.future.2020.07.005
Peer Reviewed verified by ORBi

Briffoteaux, G., Gobert, M., Ragonnet, R., Gmys, J., Mezmaz, M., Melab, N., & Tuyttens, D. (2020). Parallel Surrogate-assisted Optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO. Swarm and Evolutionary Computation.
Peer Reviewed verified by ORBi

Briffoteaux, G., Ragonnet, R., Mezmaz, M., Melab, N., & Tuyttens, D. (19 February 2020). Towards Dynamic Selection of Evolution Controls in Parallel Bayesian Neural Network-assisted Genetic Algorithm [Paper presentation]. International Conference on Optimization and Learning OLA'2020 17-19 February, Cadiz, Spain.
Peer reviewed

Briffoteaux, G., Melab, N., Mezmaz, M., & Tuyttens, D. (2018). An adaptive evolution control based on confident regions for surrogate-assisted optimization. In 2018 International Conference on High Performance Computing & Simulation, HPCS 2018, Orleans, France, July 16-20, 2018. IEEE. doi:10.1109/HPCS.2018.00130
Peer reviewed

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