A. A. Maw

Deep Generative and Probabilistic Surrogate Modeling for Uncertainty-Based Airfoil Design Optimization

Results show that deterministic, robust, and reliability-based designs closely match those obtained from Monte Carlo simulations with 5000 samples, while the method requires only 200 samples per design, trained over the global design space.