Abstract: Multi-fidelity Bayesian optimization has been widely applied in engineering design, which leverages a large number of cheap low-fidelity (LF) samples to assist a small number of costly ...

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

The final, formatted version of the article will be published soon. This work reports on a pilot study for optimizing the design of a fast neutron irradiation experiment in a thermal neutron spectrum, ...

In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR), that serves as a meta-criterion to select the best sample… ...

Abstract: As awareness of data privacy protection continues to grow, many-task optimization faces a significant challenge in balancing privacy protection and performance improvement. This paper ...