Improving surrogate-assisted variable fidelity multi-objective optimization using a clustering algorithm

- We extended variable fidelity optimization framework to include multiple surrogates.
- Build multiple Kriging models by using k-means clustering algorithm.
- More reliably solve the large sample size surrogate-modeling problem.
- Accelerate surrogate-assisted multi-objective genetic algorithm.
- Results converge closely to the high-fidelity Pareto front.