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Multi-fidelity Bayesian optimization in engineering design
Resided at the intersection of multi-fidelity optimization (MFO) and Bayesian optimization
(BO), MF BO has found a niche in solving expensive engineering design optimization …
(BO), MF BO has found a niche in solving expensive engineering design optimization …
A comprehensive multi-fidelity surrogate framework based on Gaussian process for datasets with heterogeneous responses
In recent decades, the multi-fidelity (MF) surrogate framework has seen widespread
application across various scenarios. This framework significantly enhances the efficiency of …
application across various scenarios. This framework significantly enhances the efficiency of …
A variable fidelity approach for predicting aerodynamic wall quantities of hypersonic vehicles using the ConvNeXt encoder-decoder framework
Y Yang, S Yao, Y Xue, W Zhao, C Wu - Aerospace Science and …, 2024 - Elsevier
Computational fluid dynamics (CFD) simulations for obtaining three-dimensional hypersonic
vehicle aerodynamic characteristics are resource-intensive. Deep learning offers a …
vehicle aerodynamic characteristics are resource-intensive. Deep learning offers a …
Generative adversarial networks for multi-fidelity matrix completion with massive missing entries
Multi-fidelity matrices refer to a pair of data matrices, whose entries are the measurements of
a specific physical quantity at different fidelity levels wrt two environment variables arranged …
a specific physical quantity at different fidelity levels wrt two environment variables arranged …
Multifidelity Bayesian Optimization: A Review
Resided at the intersection of multifidelity optimization (MFO) and Bayesian optimization
(BO), MF BO has found a niche in solving expensive engineering design optimization …
(BO), MF BO has found a niche in solving expensive engineering design optimization …