  | Favaro, P.* , Gobert, M.* , & Toubeau, J.-F. (December 2024). Multi-fidelity optimization for the day-ahead scheduling of Pumped Hydro Energy Storage. Journal of Energy Storage, 103, 114096. doi:10.1016/j.est.2024.114096  Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
  | Gobert, M., Briffoteaux, G., Gmys, J., Melab, N., & Tuyttens, D. (November 2024). Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization. Engineering Applications of Artificial Intelligence, 137, 109075. doi:10.1016/j.engappai.2024.109075 Peer Reviewed verified by ORBi |
 | 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 |
  | Gobert, M., Gmys, J., Toubeau, J.-F., Melab, N., Tuyttens, D., & Vallée, F. (26 November 2022). Batch Acquisition for Parallel Bayesian Optimization— Application to Hydro-Energy Storage Systems Scheduling. Algorithms, 15 (12), 446. doi:10.3390/a15120446 Peer Reviewed verified by ORBi |
 | Gobert, M., Gmys, J., Toubeau, J.-F., Melab, N., Tuyttens, D., & Vallée, F. (2022). Parallel Bayesian Optimization for Optimal Scheduling of Underground Pumped Hydro-Energy Storage Systems. In Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/IPDPSW55747.2022.00133 Peer reviewed |
 | 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 |
 | Gobert, M., Gmys, J., Melab, N., & Tuyttens, D. (2021). Adaptive Space Partitioning for Parallel BayesianOptimization. In HPCS Proceedings. ieee. Peer reviewed |
Gobert, M., Gmys, J., Melab, N., & Tuyttens, D. (2021). Space Partitioning with multiple models for Parallel Bayesian Optimization [Paper presentation]. International Conference on Optimization and Learning Algorithm, Sicilia (virtual), Italy. |
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 |
 | Gobert, M., Gmys, J., Melab, N., & Tuyttens, D. (2020). Towards Adaptive Space Partitioning for Large-scale Parallel Bayesian Optimization [Paper presentation]. International Conference on Optimization and Learning OLA'2020 17-19 February, Cadiz, Spain. |
 | Gobert, M., Gmys, J., Toubeau, J.-F., Vallée, F., Melab, N., & Tuyttens, D. (2019). Surrogate-Assisted Optimization for Multi-Stage Optimal Scheduling of Virtual Power Plants [Paper presentation]. International Conference on High Performance Computing & Simulation, Dublin, Ireland. |
 | Filipic, B., Depolli, M., Zupancic, J., Gmys, J., Gobert, M., Melab, N., & Tuyttens, D. (2018). ECG simulator tuning: A parallel multiobjective optimization approach [Paper presentation]. OLA International Workshop on Optimization and Learning: Challenges and Applications, Alicante, Spain. |
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