Artificial intelligence-driven airfoil aerodynamic design via deep surrogate modeling and evolutionary algorithm
Airfoil aerodynamic design relies on computationally expensive flow solvers, while aerodynamic performance optimization and target pressure distribution inverse design are treated separately. This study develops a framework combining low-dimensional geometric representation, deep surrogate modeling, and evolutionary se...