03.4 - Applied Aerodynamics
MULTI-OBJECTIVE AERODYNAMIC OPTIMIZATION OF 2D HIGH-LIFT DEVICE BASED ON DISTRIBUTED DEEP REINFORCEMENT LEARNING
J.-H. Dai¹, P.-Q. Liu¹, L. Li¹; ¹Beihang University, China
We propose a method based on distributed reinforcement learning to solve the multi-objective optimization problem of high-lift devices. The new method draws lessons from Pareto ranking rather than merging multiple objectives into a single objective, so that a more uniform Pareto leading edge can be obtained. Combined with transfer learning, this method can improve the optimization efficiency.