A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. - Qingshan Tan; Changhe Li; Hai Xia 001; Sanyou Zeng; Shengxiang Yang (CEC, 2021)

A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. - Hai Xia 001; Changhe Li; Sanyou Zeng; Qingshan Tan; Junchen Wang; Shengxiang Yang (CEC, 2021)

Learning to Search Promising Regions by a Monte-Carlo Tree Model. - Hai Xia 001; Changhe Li; Sanyou Zeng; Qingshan Tan; Junchen Wang; Shengxiang Yang (CEC, 2022)

A Subspace-Based Non-Dominated Subset Selection Method. - Qingshan Tan; Changhe Li; Sanyou Zeng; Shengxiang Yang (CEC, 2023)

Learning to search promising regions by space partitioning for evolutionary methods. - Hai Xia 001; Changhe Li; Qingshan Tan; Sanyou Zeng; Shengxiang Yang (Swarm Evol. Comput., 2024)