Wenli Du
Wenli Du
Verified email at ecust.edu.cn
Cited by
Cited by
Parameters identification of solar cell models using generalized oppositional teaching learning based optimization
X Chen, K Yu, W Du, W Zhao, G Liu
Energy 99, 170-180, 2016
Biogeography-based learning particle swarm optimization
X Chen, H Tianfield, C Mei, W Du, G Liu
Soft Computing 21 (24), 7519-7541, 2017
Multiagent systems on multilayer networks: Synchronization analysis and network design
W He, G Chen, QL Han, W Du, J Cao, F Qian
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (7), 1655-1667, 2017
Fundamental theories and key technologies for smart and optimal manufacturing in the process industry
F Qian, W Zhong, W Du
Engineering 3 (2), 154-160, 2017
Multi-objective differential evolution with ranking-based mutation operator and its application in chemical process optimization
X Chen, W Du, F Qian
Chemometrics and Intelligent Laboratory Systems 136, 85-96, 2014
Multimode process monitoring and fault detection: A sparse modeling and dictionary learning method
X Peng, Y Tang, W Du, F Qian
IEEE Transactions on Industrial Electronics 64 (6), 4866-4875, 2017
Identification and control of nonlinear systems by a dissimilation particle swarm optimization-based Elman neural network
HW Ge, F Qian, YC Liang, W Du, L Wang
Nonlinear Analysis: Real World Applications 9 (4), 1345-1360, 2008
Three stage equilibrium model for coal gasification in entrained flow gasifiers based on aspen plus
K Xiangdong, W Zhong, DU Wenli, Q Feng
Chinese journal of chemical engineering 21 (1), 79-84, 2013
A hybrid genetic algorithm with the Baldwin effect
Q Yuan, F Qian, W Du
Information Sciences 180 (5), 640-652, 2010
A hybrid algorithm based on particle swarm optimization and simulated annealing for job shop scheduling
H Ge, W Du, F Qian
Third International Conference on Natural Computation (ICNC 2007) 3, 715-719, 2007
Secure communication based on quantized synchronization of chaotic neural networks under an event-triggered strategy
W He, T Luo, Y Tang, W Du, YC Tian, F Qian
IEEE transactions on neural networks and learning systems 31 (9), 3334-3345, 2019
Dual RBFNNs-based model-free adaptive control with aspen HYSYS simulation
Y Zhu, Z Hou, F Qian, W Du
IEEE transactions on neural networks and learning systems 28 (3), 759-765, 2016
Dynamic optimization of industrial processes with nonuniform discretization-based control vector parameterization
X Chen, W Du, H Tianfield, R Qi, W He, F Qian
IEEE Transactions on Automation Science and Engineering 11 (4), 1289-1299, 2013
Geometric structural ensemble learning for imbalanced problems
Z Zhu, Z Wang, D Li, Y Zhu, W Du
IEEE transactions on cybernetics 50 (4), 1617-1629, 2018
Large-scale industrial energy systems optimization under uncertainty: A data-driven robust optimization approach
F Shen, L Zhao, W Du, W Zhong, F Qian
Applied Energy 259, 114199, 2020
High-dimensional robust multi-objective optimization for order scheduling: A decision variable classification approach
W Du, W Zhong, Y Tang, W Du, Y Jin
IEEE Transactions on Industrial Informatics 15 (1), 293-304, 2018
Biogeography-based optimization with covariance matrix based migration
X Chen, H Tianfield, W Du, G Liu
Applied Soft Computing 45, 71-85, 2016
Development of a kinetic model for industrial oxidation of p‐xylene by RBF‐PLS and CCA
X Yan, W Du, F Qian
AIChE journal 50 (6), 1169-1176, 2004
Compartment modeling of coal gasification in an entrained flow gasifier: A study on the influence of operating conditions
X Kong, W Zhong, W Du, F Qian
Energy conversion and management 82, 202-211, 2014
Synchronization analysis of heterogeneous dynamical networks
W He, W Du, F Qian, J Cao
Neurocomputing 104, 146-154, 2013
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