SponsorΒΆ
This open-source Python library for large-scale black-box optimization is supported by Shenzhen Fundamental Research Program under Grant No. JCYJ20200109141235597 (2,000,000 Yuan granted to Prof. Yuhui Shi from CSE, Southern University of Science and Technology (SUSTech) @ Shenzhen, China from 2021 to 2023), and actively developed by three of his group members (Qiqi Duan, Chang Shao, and Guochen Zhou).
Now Zhuowei Wang from University of Technology Sydney (UTS) takes part in this library as one core developer (for testing).
Now Mingyang Feng from University of Birmingham (UoB) helps to search papers involved in this library and test on MacOS X.
Now Yijun Yang from UTS helps to suggest papers about Bayesian Optimization (BO).
Now Qi Zhao from SUSTech helps to proofread all the documents.
Now Haobin Yang from SUSTech helps to proofread all the documents.
Now Minghan Zhang from University of Warwick helps to search papers involved in this library and test on MacOS X.
Now Zonghan He from SUSTech helps to test the installation process on Windows10 OS.
We also acknowledge the initial (2017) discussions with Hao Tong (when at SUSTech) and recent (2022) discussions wih Changwu Huang (at SUSTech).
Finally, we thank very much for all the following open-source code to make repeatability much easier (still updated):