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Chao Lu
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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
2832017
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
2222017
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
1952017
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
1532017
Grey wolf optimizer with cellular topological structure
C Lu, L Gao, J Yi
Expert Systems with Applications 107, 89-114, 2018
1482018
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
1472019
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
1372016
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
1102020
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
1052022
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
1002018
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
982022
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
872015
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
842022
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
822016
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 (3), 610-620, 2022
772022
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
752022
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
752018
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
722021
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
592022
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
592017
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