Condition-Enhanced Generative Adversarial Network for Aerodynamic Configuration Design of Commercial Aircraft

Generative machine learning provides an end-to-end framework for aerodynamic design optimization by generating diverse aerodynamic configurations conditioned on target performance. However, the generated designs may violate geometric constraints or deviate from the prescribed aerodynamic performance