Jinliang Ding
Jinliang Ding
PhD, Professor, Northeastern University, Shenyang, China
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Zitiert von
Zitiert von
Surrogate-assisted cooperative swarm optimization of high-dimensional expensive problems
C Sun, Y Jin, R Cheng, J Ding, J Zeng
IEEE Transactions on Evolutionary Computation 21 (4), 644-660, 2017
Generalized Multi-tasking for Evolutionary Optimization of Expensive Problems
J Ding, C Yang, Y Jin, T Chai
IEEE Transactions on Evolutionary Computation 23 (1), 44 - 58, 2019
Data driven fault diagnosis and fault tolerant control: some advances and possible new directions
H Wang, T Chai, J Ding, B Martin
Acta Automatica Sinica 35 (6), 739-747, 2009
Heterogeneous Ensemble Based Infill Criterion for Evolutionary Multi-objective Optimization of Expensive Problems
D Guo, Y Jin, J Ding, T Chai
IEEE Transactions on Cybernetics 49 (3), 1012 - 1025, 2019
Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system
Y Fu, J Ding, H Wang, J Wang
Applied Soft Computing 68, 847-855, 2018
Toward a resilient holistic supply chain network system: Concept, review and future direction
J Wang, RR Muddada, H Wang, J Ding, Y Lin, C Liu, W Zhang
IEEE Systems Journal 10 (2), 410-421, 2016
Hybrid intelligent control for optimal operation of shaft furnace roasting process
T Chai, J Ding, F Wu
Control Engineering Practice 19 (3), 264-275, 2011
Evolutionary optimization of high-dimensional multiobjective and many-objective expensive problems assisted by a dropout neural network
D Guo, X Wang, K Gao, Y Jin, J Ding, T Chai
IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (4), 2084-2097, 2022
A Novel Adaptive Dynamic Programming Based on Tracking Error for Nonlinear Discrete-Time Systems
C Li, J Ding, FL Lewis, T Chai
Automatica 129, 109687, 2021
Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes
C Yang, J Ding, Y Jin, C Wang, T Chai
IEEE Transactions on Automation Science and Engineering 16 (3), 1046-1057, 2019
Robust Event-triggered Model Predictive Control for Multiple High-speed Trains with Switching Topologies
H Zhao, X Dai, Q Zhang, J Ding
IEEE Transactions on Vehicular Technology 69 (5), 4700-4710, 2020
Off-line Data-driven Multi-objective Optimization: Knowledge Transfer between Surrogates and Generation of Final Solutions
C Yang, J Ding, Y Jin, T Chai
IEEE Transactions on Evolutionary Computation 24 (3), 409-423, 2020
Offline modeling for product quality prediction of mineral processing using modeling error PDF shaping and entropy minimization
J Ding, T Chai, H Wang
IEEE Transactions on Neural Networks 22 (3), 408-419, 2011
Off-policy Q-learning: Set-point design for optimizing dual-rate rougher flotation operational processes
J Li, T Chai, FL Lewis, J Fan, Z Ding, J Ding
IEEE Transactions on Industrial Electronics 65 (5), 4092-4102, 2018
A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems
Q Chen, J Ding, S Yang, T Chai
IEEE Transactions on Evolutionary Computation 24 (4), 792 - 806, 2020
On domain modelling of the service system with its application to enterprise information systems
J Wang, H Wang, J Ding, K Furuta, T Kanno, WH Ip, W Zhang
Enterprise Information Systems 10 (1), 1-16, 2016
Data-based Multi-objective Plant-wide Performance Optimization of Industrial Processes under Dynamic Environments
J Ding, H Modares, T Chai, F Lewis
IEEE Transactions on Industrial Informatics 12 (2), 454 - 465, 2016
Small Data Driven Evolutionary Multi-objective Optimization of Fused Magnesium Furnaces
D Guo, T Chai, J Ding, Y Jin
Proceedings of IEEE Symposium Series on Computational Intelligence (IEEE …, 2016
柴天佑, 丁进良, 王宏, 苏春翌
自动化学报 34 (5), 505-515, 2008
Nonzero-sum Game Reinforcement Learning for Performance Optimization in Large-scale Industrial Processes
J Li, J Ding, T Chai, L Frank
IEEE Transactions on Cybernetics 50 (9), 4132-4145, 2020
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