| Adaptive multi-fidelity sampling for CFD-based optimisation via radial basis function metamodels A Serani, R Pellegrini, J Wackers, CE Jeanson, P Queutey, M Visonneau, ... International Journal of Computational Fluid Dynamics 33 (6-7), 237-255, 2019 | 75 | 2019 |
| Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization R Pellegrini, A Serani, C Leotardi, U Iemma, EF Campana, M Diez Applied Soft Computing 58, 714-731, 2017 | 43 | 2017 |
| A multi-objective DIRECT algorithm for ship hull optimization EF Campana, M Diez, G Liuzzi, S Lucidi, R Pellegrini, V Piccialli, F Rinaldi, ... Computational optimization and applications 71, 53-72, 2018 | 41 | 2018 |
| Multi-fidelity adaptive global metamodel of expensive computer simulations R Pellegrini, U Iemma, C Leotardi, EF Campana, M Diez 2016 IEEE Congress on Evolutionary Computation (CEC), 4444-4451, 2016 | 31 | 2016 |
| Application of derivative-free multi-objective algorithms to reliability-based robust design optimization of a high-speed catamaran in real ocean environment R Pellegrini, EF Campana, M Diez, A Serani, F Rinaldi, G Fasano, ... Engineering Optimization IV, 15, 2014 | 26 | 2014 |
| Hybridization of multi-objective deterministic particle swarm with derivative-free local searches R Pellegrini, A Serani, G Liuzzi, F Rinaldi, S Lucidi, M Diez Mathematics 8 (4), 546, 2020 | 22 | 2020 |
| Adaptive N-fidelity metamodels for noisy CFD data J Wackers, M Visonneau, S Ficini, R Pellegrini, A Serani, M Diez AIAA AVIATION 2020 FORUM, 3161, 2020 | 22 | 2020 |
| Multi-fidelity machine learning from adaptive-and multi-grid RANS simulations J Wackers, M Visonneau, A Serani, R Pellegrini, R Broglia, M Diez 33rd symposium on naval hydrodynamics, 2020 | 20 | 2020 |
| Analytical benchmark problems for multifidelity optimization methods L Mainini, A Serani, MP Rumpfkeil, E Minisci, D Quagliarella, H Pehlivan, ... arXiv preprint arXiv:2204.07867, 2022 | 19 | 2022 |
| A multi-fidelity active learning method for global design optimization problems with noisy evaluations R Pellegrini, J Wackers, R Broglia, A Serani, M Visonneau, M Diez Engineering with Computers 39 (5), 3183-3206, 2023 | 18 | 2023 |
| Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance C Piazzola, L Tamellini, R Pellegrini, R Broglia, A Serani, M Diez Engineering with Computers 39 (3), 2209-2237, 2023 | 18 | 2023 |
| Resistance and payload optimization of a sea vehicle by adaptive multi-fidelity metamodeling R Pellegrini, A Serani, R Broglia, M Diez, S Harries 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018 | 17 | 2018 |
| Adaptive sampling criteria for multi-fidelity metamodels in CFD-based shape optimization R Pellegrini, A Serani, M Diez, J Wackers, P Queutey, M Visonneau ECCOMAS CFD 2018, 2018 | 16 | 2018 |
| Uncertainty quantification of ship resistance via multi-index stochastic collocation and radial basis function surrogates: A comparison C Piazzola, L Tamellini, R Pellegrini, R Broglia, A Serani, M Diez AIAA Aviation 2020 Forum, 3160, 2020 | 15 | 2020 |
| An adaptive N-fidelity metamodel for design and operational-uncertainty space exploration of complex industrial problems A Serani, R Pellegrini, R Broglia, J Wackers, M Visonneau, M Diez VIII International Conference on Computational Methods in Marine Engineering …, 2019 | 13 | 2019 |
| Assessing the performance of an adaptive multi-fidelity gaussian process with noisy training data: A statistical analysis S Ficini, U Iemma, R Pellegrini, A Serani, M Diez AIAA AVIATION 2021 FORUM, 3098, 2021 | 9 | 2021 |
| Multi-objective hull-form optimization of a swath configuration via design-space dimensionality reduction, multi-fidelity metamodels, and swarm intelligence R Pellegrini, A Serani, S Harries, M Diez MARINE VII: proceedings of the VII International Conference on Computational …, 2017 | 8 | 2017 |
| A multi-fidelity adaptive sampling method for metamodel-based uncertainty quantification of computer simulations R Pellegrini, C Leotardi, U Iemma, EF Campana, M Diez Proceedings of the VII European congress on computational methods in applied …, 2016 | 8 | 2016 |
| Efficient initialization for multi-fidelity surrogate-based optimization J Wackers, R Pellegrini, A Serani, M Visonneau, M Diez Journal of Ocean Engineering and Marine Energy 9 (2), 291-307, 2023 | 7 | 2023 |
| Adaptive multifidelity shape optimization based on noisy CFD data J Wackers, A Serani, R Pellegrini, M Diez, M Visonneau rnational Conference on Adaptive Modeling and Simulation-ADMOS 2019, 2019 | 7 | 2019 |
Matteo DiezSenior Research Scientist, CNR-INM, National Research Council-Institute of Marine Engineering, Rome在 cnr.it 的电子邮件经过验证
