Neural surrogate models enable 785x faster optimization of glider wings with stability constraints using multiple algorithms including PSO, GA, and Bayesian optimization, yielding improved aerodynamic qualities.
Airfoil GAN: Encoding and synthesizing airfoils for aerodynamic shape optimization,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Neural Surrogate-assisted Glider Wing Design with Stability Analysis and Multi-method Optimization
Neural surrogate models enable 785x faster optimization of glider wings with stability constraints using multiple algorithms including PSO, GA, and Bayesian optimization, yielding improved aerodynamic qualities.