DIEZ, Matteo

DIEZ, Matteo  

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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