Reinforcement learning-based hybrid differential evolution for global optimization of interplanetary trajectory design. - Lei Peng 001; Zhuoming Yuan; Guangming Dai; Maocai Wang; Zhe Tang (Swarm Evol. Comput., 2023)

An improved multi-operator differential evolution with two-phase migration strategy for numerical optimization. - Zhuoming Yuan; Lei Peng 001; Guangming Dai; Maocai Wang; Jian Li; Wanbing Zhang; Qianqian Yu (Inf. Sci., 2024)

An improved multi-operator differential evolution via a knowledge-guided information sharing strategy for global optimization. - Zhuoming Yuan; Lei Peng 001; Guangming Dai; Maocai Wang; Wanbing Zhang; Qingrui Zhou; Wei Zheng (Expert Syst. Appl., 2025)

Scenario-based self-learning transfer framework for multi-task optimization problems. - Zhuoming Yuan; Guangming Dai; Lei Peng 001; Maocai Wang; Zhiming Song; Xiaoyu Chen 002 (Knowl. Based Syst., 2025)