F Ceccon, J Jalving, J Haddad, A Thebelt… - Journal of Machine …, 2022 - jmlr.org
The optimization and machine learning toolkit (OMLT) is an open-source software package incorporating neural network and gradient-boosted tree surrogate models, which have been …
J Feng, Y Tang, J Liu, P Zhang, C Liu… - … in Bioengineering and …, 2022 - frontiersin.org
With the continuous progress and development in biomedicine, metallic biomedical materials have attracted significant attention from researchers. Due to the low compatibility …
R Misener, L Biegler - Computers & Chemical Engineering, 2023 - Elsevier
Recent developments in data science and machine learning have inspired a new wave of research into data-driven modeling for mathematical optimization of process applications …
JP Folch, RM Lee, B Shafei, D Walz, C Tsay… - Computers & Chemical …, 2023 - Elsevier
Bayesian Optimization is a useful tool for experiment design. Unfortunately, the classical, sequential setting of Bayesian Optimization does not translate well into laboratory …
G Huang, G Wu, Z Yang, X Chen, W Wei - Applied Energy, 2023 - Elsevier
High-speed railway pantograph-catenary system is the only energy transfer pathway to drive a train operation. Energy transfer quality deteriorates with the increasing train speed and …
Towards the low-carbon goal, a smart grid features remote connection, data sharing, and cyber–physical integration to increase the flexibility of energy supplies, to reduce electricity …
Y Liu, H Wang - Applied Soft Computing, 2023 - Elsevier
Some real-world design optimization problems can be formulated as expensive mixed- variable optimization problems (EMVOPs), which involve both continuous and discrete …
A Thebelt, C Tsay, R Lee… - Advances in …, 2022 - proceedings.neurips.cc
Tree ensembles can be well-suited for black-box optimization tasks such as algorithm tuning and neural architecture search, as they achieve good predictive performance with little or no …
When assessing demand response to solve optimal scheduling problems, the optimization algorithm needs to be coupled with the process model in order to quantify the behavior of …