Differentiable Particle Swarm Optimization: A Physics-Informed Hybrid Framework for Wind Turbine Blade Design
Optimizing wind turbine blades for maximum annual energy production is a complex real-world challenge, marked by high-dimensional search spaces and computationally expensive, non-differentiable aerodynamic simulations that hinder efficient gradient-based optimization. We present a novel, fully differentiable design fra...