Shape Optimization of a Hydraulic Turbine Using Deep Reinforcement Learning
The present study explores the potential of deep reinforcement learning for the geometric optimization of a hydraulic turbine and compares its performance with that of an evolutionary algorithm. Shape optimization in fluid mechanics often leads to high‐dimensional, highly non‐linear problems, requiring efficient meth...