Bayesian Surrogate Optimization Outperforms Deep Learning in Turbomachinery Design Under Severe Simulation Limits
A computational study reveals that Bayesian co-kriging combined with Proper Orthogonal Decomposition outperforms multi-fidelity neural networks when optimizing turbomachinery blade ...
