Transfer learning from a NeuralFoil surrogate to XFoil cuts DRL airfoil-optimization training time by about 86% while keeping aerodynamic performance close to full XFoil training.
Pironneau ,\ title title On optimum design in fluid mechanics , \ @noop journal journal Journal of Fluid Mechanics \ volume 64 ,\ pages 97--110 ( year 1974 ) NoStop
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Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints
Transfer learning from a NeuralFoil surrogate to XFoil cuts DRL airfoil-optimization training time by about 86% while keeping aerodynamic performance close to full XFoil training.