| Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm C Lu, L Gao, X Li, Q Pan, Q Wang Journal of cleaner production 144, 228-238, 2017 | 283 | 2017 |
| A novel mathematical model and multi-objective method for the low-carbon flexible job shop scheduling problem L Yin, X Li, L Gao, C Lu, Z Zhang Sustainable Computing: Informatics and Systems 13, 15-30, 2017 | 214 | 2017 |
| A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry C Lu, L Gao, X Li, S Xiao Engineering Applications of Artificial Intelligence 57, 61-79, 2017 | 192 | 2017 |
| An effective multi-objective discrete virus optimization algorithm for flexible job-shop scheduling problem with controllable processing times C Lu, X Li, L Gao, W Liao, J Yi Computers & Industrial Engineering 104, 156-174, 2017 | 151 | 2017 |
| A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution C Lu, L Gao, Q Pan, X Li, J Zheng Applied Soft Computing 75, 728-749, 2019 | 145 | 2019 |
| Grey wolf optimizer with cellular topological structure C Lu, L Gao, J Yi Expert Systems with Applications 107, 89-114, 2018 | 139 | 2018 |
| An effective multi-objective discrete grey wolf optimizer for a real-world scheduling problem in welding production C Lu, S Xiao, X Li, L Gao Advances in Engineering Software 99, 161-176, 2016 | 136 | 2016 |
| Energy-efficient scheduling of distributed flow shop with heterogeneous factories: A real-world case from automobile industry in China C Lu, L Gao, J Yi, X Li IEEE Transactions on Industrial Informatics 17 (10), 6687-6696, 2020 | 105 | 2020 |
| An effective multiobjective algorithm for energy-efficient scheduling in a real-life welding shop X Li, C Lu, L Gao, S Xiao, L Wen IEEE transactions on industrial informatics 14 (12), 5400-5409, 2018 | 97 | 2018 |
| A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop C Lu, Q Liu, B Zhang, L Yin Expert Systems with Applications 204, 117555, 2022 | 87 | 2022 |
| A hybrid algorithm based on a new neighborhood structure evaluation method for job shop scheduling problem L Gao, X Li, X Wen, C Lu, F Wen Computers & Industrial Engineering 88, 417-429, 2015 | 83 | 2015 |
| Energy-efficient multi-pass turning operation using multi-objective backtracking search algorithm C Lu, L Gao, X Li, P Chen Journal of Cleaner Production 137, 1516-1531, 2016 | 82 | 2016 |
| 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 | 81 | 2022 |
| A multi-objective approach to welding shop scheduling for makespan, noise pollution and energy consumption C Lu, L Gao, X Li, J Zheng, W Gong Journal of Cleaner Production 196, 773-787, 2018 | 76 | 2018 |
| 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 | 71 | 2022 |
| A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers C Lu, Y Huang, L Meng, L Gao, B Zhang, J Zhou Robotics and Computer-Integrated Manufacturing 74, 102277, 2022 | 71 | 2022 |
| Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm C Lu, L Gao, W Gong, C Hu, X Yan, X Li Swarm and Evolutionary Computation 60, 100803, 2021 | 70 | 2021 |
| 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, 2022 | 63 | 2022 |
| Energy-efficient job shop scheduling problem with variable spindle speed using a novel multi-objective algorithm L Yin, X Li, L Gao, C Lu, Z Zhang Advances in Mechanical Engineering 9 (4), 1687814017695959, 2017 | 55 | 2017 |
| 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 | 48 | 2022 |
Liang GAOProfessor of Industrial Engineering, Huazhong University of Science and TechnologyVerified email at mail.hust.edu.cn
