| An inflationary differential evolution algorithm for space trajectory optimization M Vasile, E Minisci, M Locatelli IEEE Transactions on Evolutionary Computation 15 (2), 267-281, 2011 | 159 | 2011 |
| Analysis of some global optimization algorithms for space trajectory design M Vasile, E Minisci, M Locatelli Journal of Spacecraft and Rockets 47 (2), 334-344, 2010 | 115 | 2010 |
| MOPED: a multi-objective Parzen-based estimation of distribution algorithm for continuous problems M Costa, E Minisci International Conference on Evolutionary Multi-Criterion Optimization, 282-294, 2003 | 98 | 2003 |
| Machine learning-enabled prediction of wind turbine energy yield losses due to general blade leading edge erosion L Cappugi, A Castorrini, A Bonfiglioli, E Minisci, MS Campobasso Energy Conversion and Management 245, 114567, 2021 | 58 | 2021 |
| Aerodynamic performances of propellers with parametric considerations on the optimal design S D’Angelo, F Berardi, E Minisci The Aeronautical Journal 4 (5), 6, 2002 | 56 | 2002 |
| A deep learning approach to solar radio flux forecasting E Stevenson, V Rodriguez-Fernandez, E Minisci, D Camacho Acta Astronautica 193, 595-606, 2022 | 53 | 2022 |
| Robust Design of a Reentry Unmanned Space Vehicle by Multifidelity Evolution Control E Minisci, M Vasile AIAA JOURNAL 51 (6), 1284-1295, 2013 | 51 | 2013 |
| High dimensional sensitivity analysis using surrogate modeling and high dimensional model representation M Kubicek, E Minisci, M Cisternino International Journal for Uncertainty Quantification 5 (5), 2015 | 46 | 2015 |
| On testing global optimization algorithms for space trajectory design M Vasile, E Minisci, M Locatelli BIOMA 2008, 2008 | 46 | 2008 |
| A review of methods to study resilience of complex engineering and engineered systems SN Naghshbandi, L Varga, A Purvis, R Mcwilliam, E Minisci, M Vasile, ... Ieee Access 8, 87775-87799, 2020 | 41 | 2020 |
| Aerodynamic design optimization of wind turbine rotors under geometric uncertainty MS Campobasso, E Minisci, M Caboni Wind Energy 19 (1), 51-65, 2016 | 41 | 2016 |
| 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 | 40 | 2022 |
| Incremental planning of multi-gravity assist trajectories M Vasile, JMR Martin, L Masi, E Minisci, R Epenoy, V Martinot, JF Baig Acta Astronautica 115, 407-421, 2015 | 39 | 2015 |
| Adaptive multi-population inflationary differential evolution M Di Carlo, M Vasile, E Minisci Soft Computing, 2019 | 37 | 2019 |
| An open source hypersonic aerodynamic and aerothermodynamic modelling tool P Mehta, E Minisci, M Vasile, AC Walker, M Brown 8th European Symposium on Aerothermodynamics for Space Vehicles, 2015 | 35 | 2015 |
| Probabilistic analysis of wind turbine performance degradation due to blade erosion accounting for uncertainty of damage geometry MS Campobasso, A Castorrini, A Ortolani, E Minisci Renewable and Sustainable Energy Reviews 178, 113254, 2023 | 28 | 2023 |
| Multi-population inflationary differential evolution algorithm with adaptive local restart M Di Carlo, M Vasile, E Minisci 2015 IEEE Congress on Evolutionary Computation (CEC), 632-639, 2015 | 28 | 2015 |
| Minimum-fuel/minimum-time maneuvers of formation flying satellites G Avanzini, D Biamonti, EA Minisci AAS/AIAA Astrodynamics 2003Advances in the Astronautical Sciences 116, 2403-2422, 2003 | 26 | 2003 |
| AI to support decision making in collision risk assessment L Sanchez, M Vasile, E Minisci 70th International Astronautical Congress, 2019 | 25 | 2019 |
| Sensitivity analysis and probabilistic re-entry modeling for debris using high dimensional model representation based uncertainty treatment PM Mehta, M Kubicek, E Minisci, M Vasile Advances in Space Research 59 (1), 193-211, 2017 | 25 | 2017 |
