multi-fidelity fusion toolbox with (MF) Bayesian optimization

Multifidelity Kriging, Efficient Global Optimization

Multifidelity aeroelastic optimization with application to a BWB

Ko, Jongwoo, and Heeyoung Kim. "Deep Gaussian Process Models for Integrating Multifidelity Experiments with Non-stationary Relationships." IISE Transactions just-accepted (2021): 1-28.

Under this problem setup, the goal is to leverage existing configuration data to make the overall optimization process as efficient as possible.

Multifidelity Optimization on a BWB

This repository contains the Python modules and scripts to reproduce the results in the paper "Catanach, Vo, Munsky. IJUQ 2020."

This instruction aims to reproduce the results in the paper “Stacking designs: designing multifidelity computer experiments with target predictive accuracy” by Sung, Ji, Mak, Wang, and Tang (2024) JUQ.

Web app demonstration of multi-fidelity linear regression methods.

Multi-Fidelity Bayesian Optimization Method for Uncertainty Reduction