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.
Minima of functions of several variables with inequalities as side conditions,
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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.