DIEZ, Matteo
DIEZ, Matteo
An Evolutionary Variant of Q-learning for Global Optimization
2023-01-01 Vulpio, I.; Burghignoli, L.; Palma, G.; Iemma, U.; Serani, A.; Diez, M.
Benchmarking Uncertainty Quantification Methods Using the NACA 2412 Airfoil with Geometrical and Operational Uncertainties
2019-01-01 Quagliarella, Domenico; Serani, Andrea; Diez, Matteo; Pisaroni, Michele; Leyland, Penelope; Montagliani, Luca; Iemma, Umberto; Gaul, Nicholas J.; Shin, Jaekwan; Wunsch, Dirk; Hirsch, Charles; Choi, Kk; Stern, Frederick
Dense orthogonal initialization for deterministic PSO: ORTHOinit+
2016-01-01 Diez, Matteo; Serani, Andrea; Leotardi, Cecilia; Campana, Emilio Fortunato; Fasano, Giovanni; Gusso, Riccardo
Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization
2017-01-01 Pellegrini, Riccardo; Serani, Andrea; Leotardi, Cecilia; Iemma, Umberto; Campana, Emilio F.; Diez, Matteo
Hybrid global/local derivative-free multi-objective optimization via deterministic particle swarm with local linesearch
2018-01-01 Pellegrini, Riccardo; Serani, Andrea; Liuzzi, Giampaolo; Rinaldi, Francesco; Lucidi, Stefano; Campana, Emilio F.; Iemma, Umberto; Diez, Matteo
USE OF REINFORCEMENT LEARNING FOR MULTIFIDELITY OPTIMIZATION IN MULTIPLY-CONNECTED TRUST REGIONS
2022-01-01 Vulpio, Isabella; Burghignoli, Lorenzo; Palma, Giorgio; Iemma, Umberto; Serani, Andrea; Diez, Matteo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| An Evolutionary Variant of Q-learning for Global Optimization | 1-gen-2023 | Vulpio, I.; Burghignoli, L.; Palma, G.; Iemma, U.; Serani, A.; Diez, M. | |
| Benchmarking Uncertainty Quantification Methods Using the NACA 2412 Airfoil with Geometrical and Operational Uncertainties | 1-gen-2019 | Quagliarella, Domenico; Serani, Andrea; Diez, Matteo; Pisaroni, Michele; Leyland, Penelope; Montagliani, Luca; Iemma, Umberto; Gaul, Nicholas J.; Shin, Jaekwan; Wunsch, Dirk; Hirsch, Charles; Choi, Kk; Stern, Frederick | |
| Dense orthogonal initialization for deterministic PSO: ORTHOinit+ | 1-gen-2016 | Diez, Matteo; Serani, Andrea; Leotardi, Cecilia; Campana, Emilio Fortunato; Fasano, Giovanni; Gusso, Riccardo | |
| Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization | 1-gen-2017 | Pellegrini, Riccardo; Serani, Andrea; Leotardi, Cecilia; Iemma, Umberto; Campana, Emilio F.; Diez, Matteo | |
| Hybrid global/local derivative-free multi-objective optimization via deterministic particle swarm with local linesearch | 1-gen-2018 | Pellegrini, Riccardo; Serani, Andrea; Liuzzi, Giampaolo; Rinaldi, Francesco; Lucidi, Stefano; Campana, Emilio F.; Iemma, Umberto; Diez, Matteo | |
| USE OF REINFORCEMENT LEARNING FOR MULTIFIDELITY OPTIMIZATION IN MULTIPLY-CONNECTED TRUST REGIONS | 1-gen-2022 | Vulpio, Isabella; Burghignoli, Lorenzo; Palma, Giorgio; Iemma, Umberto; Serani, Andrea; Diez, Matteo |