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