Edmondo Minisci
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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
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
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
On testing global optimization algorithms for space trajectory design
M Vasile, E Minisci, M Locatelli
BIOMA 2008, 2008
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
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
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
Aerodynamic design optimization of wind turbine rotors under geometric uncertainty
MS Campobasso, E Minisci, M Caboni
Wind Energy 19 (1), 51-65, 2016
A deep learning approach to solar radio flux forecasting
E Stevenson, V Rodriguez-Fernandez, E Minisci, D Camacho
Acta Astronautica 193, 595-606, 2022
Robust Design of a Reentry Unmanned Space Vehicle by Multifidelity Evolution Control
E Minisci, M Vasile
AIAA JOURNAL 51 (6), 1284-1295, 2013
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
Adaptive multi-population inflationary differential evolution
M Di Carlo, M Vasile, E Minisci
Soft Computing 24 (5), 3861-3891, 2020
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
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
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
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
Break-up modelling and trajectory simulation under uncertainty for asteroids
PM Mehta, E Minisci, M Vasile
4th IAA Planetary Defense Conference, Rome, Italy, 2015
Multi-objective evolutionary optimization of subsonic airfoils by kriging approximation and evolution control
S D'Angelo, EA Minisci
2005 IEEE congress on evolutionary computation 2, 1262-1267, 2005
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
Comparison of non-intrusive approaches to uncertainty propagation in orbital mechanics
C Tardioli, M Kubicek, M Vasile, E Minisci, A Riccardi
AAS/AIAA Astrodynamics Specialist Conference 2015, 3979-3992, 2015
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