In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...

Next to the primary optimization objectives, scientific optimization problems often contain a series of subordinate objectives, which can be expressed as preferences over either the outputs of an ...

Researchers have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam. The team describes how they made nanomaterials with ...

Abstract: One main challenge in multi-objective Bayesian optimization of expensive problems is that only a very limited number of fitness evaluations can be afforded. To address the above challenge, ...

This is the code associated with the paper "Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces." Please cite our work if you find it useful. @InProceedings{pmlr-v162-daulton22a, ...