| Parallel Surrogate-assisted Optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO G Briffoteaux, M Gobert, R Ragonnet, J Gmys, M Mezmaz, N Melab, ... Swarm and Evolutionary Computation, 100717, 2020 | 27 | 2020 |
| Identification of the Parameter Values of the Constitutive and Friction Models in Machining Using EGO Algorithm: Application to Ti6Al4V N Kugalur Palanisamy, E Rivière Lorphèvre, M Gobert, G Briffoteaux, ... Metals 12 (6), 976, 2022 | 8 | 2022 |
| Adaptive Space Partitioning for Parallel Bayesian Optimization M Gobert, J Gmys, N Melab, D Tuyttens HPCS 2020-The 18th International Conference on High Performance Computing …, 2021 | 4 | 2021 |
| Surrogate-assisted optimization for multi-stage optimal scheduling of virtual power plants M Gobert, J Gmys, JF Toubeau, F Vallee, N Melab, D Tuyttens 2019 International Conference on High Performance Computing & Simulation …, 2019 | 3 | 2019 |
| Ecg simulator tuning: A parallel multiobjective optimization approach B Filipic, M Depolli, J Zupancic, J Gmys, M Gobert, N Melab, D Tuyttens Proceedings OLA’2018 International Workshop on Optimization and Learning …, 2018 | 2 | 2018 |
| Space Partitioning with multiple models for Parallel Bayesian Optimization M Gobert, J Gmys, N Melab, D Tuyttens OLA 2021-Optimization and Learning Algorithm, 2021 | 1 | 2021 |
| Batch Acquisition for Parallel Bayesian Optimization—Application to Hydro-Energy Storage Systems Scheduling M Gobert, J Gmys, JF Toubeau, N Melab, D Tuyttens, F Vallée Algorithms 15 (12), 446, 2022 | | 2022 |
| Parallel Bayesian Optimization for Optimal Scheduling of Underground Pumped Hydro-Energy Storage Systems M Gobert, J Gmys, JF Toubeau, N Melab, D Tuyttens, F Vallée 2022 IEEE International Parallel and Distributed Processing Symposium …, 2022 | | 2022 |
| Towards Adaptive Space Partitioning for Large-scale Parallel Bayesian Optimization M Gobert, J Gmys, N Melab, D Tuyttens OLA'2020-International Conference on Optimization and Learning, 2020 | | 2020 |
