共 43 条
[1]
[2]
Evolutionary multi-objective optimization assisted by metamodels; kernel PCA and multi-criteria decision making techniques with applications in aerodynamics.[J].Dimitrios Kapsoulis;Konstantinos Tsiakas;Xenofon Trompoukis;Varvara Asouti;Kyriakos Giannakoglou.Applied Soft Computing.2018,
[3]
Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier–Stokes simulations: A data-driven; physics-informed Bayesian approach.[J].H. Xiao;J.-L. Wu;J.-X. Wang;R. Sun;C.J. Roy.Journal of Computational Physics.2016,
[4]
Bayesian estimates of parameter variability in the k – ε turbulence model.[J].W.N. Edeling;P. Cinnella;R.P. Dwight;H. Bijl.Journal of Computational Physics.2014,
[5]
Optimization of Maximum Lift to Drag Ratio on Airfoil Design Based on Artificial Neural Network Utilizing Genetic Algorithm.[J].Anwar Johari;B.B. Nyakuma;A. Ahmad;T.A. Tuan Abdullah;M.J. Kamaruddin;R. Mat;A. Ali.Applied Mechanics and Materials.2014, 493
[6]
Robust Multi-Objective Wing Design Optimization Via CFD Approximation Model.[J].Yu Liang;Xiao-quan Cheng;Zheng-neng Li;Jin-wu Xiang.Engineering Applications of Computational Fluid M.2014, 2
[8]
Aerodynamic design prediction using surrogate-based modeling in genetic algorithm architecture.[J].Y. Volkan Pehlivanoglu;Bedri Yagiz.Aerospace Science and Technology.2011, 1
[9]
Bayesian uncertainty quantification applied to RANS turbulence models.[J].Todd A Oliver;Robert D Moser.Journal of Physics: Conference Series.2011, 4

