| A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling R Li, W Gong, C Lu Expert Systems with Applications 203, 117380, 2022 | 97 | 2022 |
| Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time R Li, W Gong, C Lu Computers & Industrial Engineering 168, 108099, 2022 | 82 | 2022 |
| A learning-based memetic algorithm for energy-efficient flexible job shop scheduling with type-2 fuzzy processing time R Li, W Gong, C Lu, L Wang IEEE Transactions on Evolutionary Computation 27 (03), 610-620, 2023 | 75 | 2023 |
| Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time R Li, W Gong, L Wang, C Lu, S Jiang Swarm and Evolutionary Computation 74, 101139, 2022 | 58 | 2022 |
| Surprisingly popular-based adaptive memetic algorithm for energy-efficient distributed flexible job shop scheduling R Li, W Gong, L Wang, C Lu, X Zhuang IEEE Transactions on Cybernetics, 2023 | 31 | 2023 |
| Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling R Li, W Gong, L Wang, C Lu, C Dong IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-11, 2023 | 20 | 2023 |
| BRCE: bi-roles co-evolution for energy-efficient distributed heterogeneous permutation flow shop scheduling with flexible machine speed K Huang, R Li, W Gong, R Wang, H Wei Complex & Intelligent Systems 9 (5), 4805-4816, 2023 | 13 | 2023 |
| Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories C Luo, W Gong, R Li, C Lu Engineering Applications of Artificial Intelligence 123, 106454, 2023 | 13 | 2023 |
| Double DQN-based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling with Multiple Priorities of Jobs R Li, W Gong, L Wang, C Lu, Z Pan IEEE Transactions on Automation Science and Engineering, 1-13, 2023 | 12 | 2023 |
| Minimizing tardiness and makespan for distributed heterogeneous unrelated parallel machine scheduling by knowledge and Pareto-based memetic algorithm H Wang, R Li, W Gong Egyptian Informatics Journal 24 (3), 100383, 2023 | 12 | 2023 |
| Competitive and Cooperative-based Strength Pareto Evolutionary Algorithm for Green Distributed Heterogeneous Flow Shop Scheduling K Huang, R Li, W Gong, W Bian, R Wang Intelligent Automation & Soft Computing, 2023 | 6 | 2023 |
| Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling S Cao, R Li, W Gong, C Lu Swarm and Evolutionary Computation 83, 101419, 2023 | 4 | 2023 |
| 改进的基于分解的多目标进化算法求解双目标模糊柔性 作业车间调度问题. 李瑞， 龚文引 控制理论与应用 39 (1), 31-40, 2022 | 4 | 2022 |
| Deep reinforcement learning-based memetic algorithm for energy-aware flexible job shop scheduling with multi-AGV F Zhang, R Li, W Gong Computers & Industrial Engineering 189, 109917, 2024 | 3 | 2024 |
| An evolutionary multitasking memetic algorithm for multi-objective distributed heterogeneous welding flow shop scheduling R Li, L Wang, W Gong, F Ming IEEE Transactions on Evolutionary Computation, 2024 | 2 | 2024 |
| 知识驱动的模因算法求解分布式绿色柔性调度 李瑞， 王凌， 龚文引 华中科技大学学报(自然科学版) 50 (06), 55-60, 2022 | 2 | 2022 |
| Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling R Li, L Wang, W Gong, J Chen, Z Pan, Y Wu, Y Yu Engineering Applications of Artificial Intelligence 135, 108775, 2024 | | 2024 |
| A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer Y Wu, L Wang, R Li, J Chen Swarm and Evolutionary Computation 88, 101602, 2024 | | 2024 |
| Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process L Yao, J Chen, L Wang, R Li, H Luo, J Yi Swarm and Evolutionary Computation 87, 101574, 2024 | | 2024 |
| Distributed Energy-Efficient Flexible Manufacturing With Assembly and Transportation: A Knowledge-Based Bi-Hierarchical Optimization Approach Z Pan, L Wang, J Wang, Y Yu, R Li IEEE Transactions on Automation Science and Engineering, 2024 | | 2024 |
Wenyin GongProfessor of Computer Science, China University of Geosciences, WuhanVerified email at cug.edu.cn
