An Online Deep Reinforcement Learning-Based Order Recommendation Framework for Rider-Centered Food Delivery System. - Xing Wang 015; Ling Wang 001; Chenxin Dong; Hao Ren; Ke Xing (IEEE Trans. Intell. Transp. Syst., 2023)

An enhanced Kalman filtering and historical learning mechanism driven estimation of distribution algorithm. - Ningning Zhu; Fuqing Zhao; Ling Wang 001; Chenxin Dong (Swarm Evol. Comput., 2024)

Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling. - Rui Li 087; Wenyin Gong; Ling Wang 001; Chao Lu 008; Chenxin Dong (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Knowledge-Guided End-to-End Optimization Framework Based on Reinforcement Learning for Flow Shop Scheduling. - Zixiao Pan; Ling Wang 001; Chenxin Dong; Jing-Fang Chen 001 (IEEE Trans. Ind. Informatics, 2024)

An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling. - Fuqing Zhao; Changxue Zhuang; Ling Wang 001; Chenxin Dong (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Policy-Based Meta-Heuristic Algorithm for Energy-Aware Distributed No-Wait Flow-Shop Scheduling in Heterogeneous Factory Systems. - Fuqing Zhao; Lisi Song; Tao Jiang; Ling Wang 001; Chenxin Dong (IEEE Trans. Syst. Man Cybern. Syst., 2025)