An Efficient Multi-objective Evolutionary Algorithm for a Practical Dynamic Pickup and Delivery Problem. - Junchuang Cai; Qingling Zhu; Qiuzhen Lin; Jianqiang Li 001; Jianyong Chen; Zhong Ming 001 (ICIC (1), 2022)

Variable neighborhood search for a new practical dynamic pickup and delivery problem. - Junchuang Cai; Qingling Zhu; Qiuzhen Lin (Swarm Evol. Comput., 2022)

A survey of dynamic pickup and delivery problems. - Junchuang Cai; Qingling Zhu; Qiuzhen Lin; Lijia Ma; Jianqiang Li 001; Zhong Ming 001 (Neurocomputing, 2023)

Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics. - Junchuang Cai; Xinzhi Zhang 008; Qiuzhen Lin; Lisha Dong; Weineng Chen; Zhong Ming 001 (CEC, 2024)

Deep Reinforcement Learning-Based Multi-Agent Algorithm for Vehicle Routing Problem in Complex Logistics Scenarios. - Xinzhi Zhang 008; Yeming Yang; Junchuang Cai; Qingling Zhu; Weineng Chen; Qiuzhen Lin (IJCNN, 2024)

Multitask-Based Evolutionary Optimization for Vehicle Routing Problems in Autonomous Transportation. - Jianqiang Li 001; Junchuang Cai; Tao Sun; Qingling Zhu; Qiuzhen Lin (IEEE Trans Autom. Sci. Eng., 2024)

Decomposition-Based Multiobjective Evolutionary Optimization With Tabu Search for Dynamic Pickup and Delivery Problems. - Junchuang Cai; Qingling Zhu; Qiuzhen Lin; Zhong Ming 001; Kay Chen Tan (IEEE Trans. Intell. Transp. Syst., 2024)