Publications
Guillaume BRIFFOTEAUX
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Nombre de publications : 10
2022
Périodiques scientifiques/Article
  • 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
Colloques et congrès scientifiques/Communication publiée dans un ouvrage
  • 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
  • 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
Mémoires et thèses/Thèse de doctorat
  • 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
Développements informatiques/Logiciel
  • Briffoteaux, G. (2022). "pySBO , Python platform for Surrogate-Based Optimization".
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2021
Colloques et congrès scientifiques/Communication publiée dans un ouvrage
  • Briffoteaux, G., Ragonnet, R., Mezmaz, M., Melab, N., & Tuyttens, D. (2021). Evolution Control Ensemble Models for Surrogate-Assisted Evolutionary Algorithms. In "HPCS proceedings". IEEE.
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2020
Périodiques scientifiques/Article
  • 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
  • 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".
Colloques et congrès scientifiques/Communication orale non publiée/Abstract
  • 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.
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2018
Colloques et congrès scientifiques/Communication publiée dans un ouvrage
  • 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
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