Cooperative coevolution for non-separable large-scale black-box optimization: Convergence analyses and distributed accelerations

Qiqi Duan, Chang Shao, Guochen Zhou, Haobin Yang, Qi Zhao, Yuhui Shi

Abstract: Highlights•We reveal empirical reasons of when decomposition-based methods are preferred or not.•We formalize cooperative co-evolution as a continuous-game model via simplification.•We propose distributed hierarchical decomposition for cooperative co-evolution.•We use distributed computing to speedup under multi-level learning.