Condition-Enhanced Generative Adversarial Network for Aerodynamic Configuration Design of Commercial Aircraft
arXiv:2610.35963v1 Announce Type: new Abstract: 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 de…
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- 2026-10-28 04:00 · arXiv cs.LG
Condition-Enhanced Generative Adversarial Network for Aerodynamic Configuration Design of Commercial Aircraft