no code implementations • 9 Oct 2023 • Qiqi Duan, Chang Shao, Guochen Zhou, Minghan Zhang, Qi Zhao, Yuhui Shi
In the post-Moore era, main performance gains of black-box optimizers are increasingly depending on parallelism, especially for large-scale optimization (LSO).
1 code implementation • 11 Apr 2023 • Qiqi Duan, Chang Shao, Guochen Zhou, Haobin Yang, Qi Zhao, Yuhui Shi
Given the ubiquity of non-separable optimization problems in real worlds, in this paper we analyze and extend the large-scale version of the well-known cooperative coevolution (CC), a divide-and-conquer black-box optimization framework, on non-separable functions.
1 code implementation • 12 Dec 2022 • Qiqi Duan, Guochen Zhou, Chang Shao, Zhuowei Wang, Mingyang Feng, Yijun Yang, Qi Zhao, Yuhui Shi
In this paper, we present a pure-Python library called PyPop7 for black-box optimization (BBO).