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.
A gradient aerodynamic optimization method based on deep learning,
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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.