Wei Du
Orcid: 0000-0003-3976-2275Affiliations:
- East China University of Science and Technology, MOE Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai, China
- Hong Kong Polytechnic University, Institute of Textile and Clothing, Hong Kong (PhD 2016)
According to our database1,
Wei Du
authored at least 36 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Robust Sparse Gaussian Process Regression for Soft Sensing in Industrial Big Data Under the Outlier Condition.
IEEE Trans. Instrum. Meas., 2024
2023
IEEE Trans. Evol. Comput., December, 2023
Nitrogen Oxides Concentration Estimation of Diesel Engines Based on a Sparse Nonstationary Trigonometric Gaussian Process Regression With Maximizing the Composite Likelihood.
IEEE Trans. Ind. Electron., November, 2023
Efficient rolling horizon approach to a crude oil scheduling problem for marine-access refineries.
Comput. Chem. Eng., February, 2023
A Distributed Dynamic Event-Triggered Algorithm With Linear Convergence Rate for the Economic Dispatch Problem.
IEEE Trans. Netw. Sci. Eng., 2023
2022
Distributed Nonconvex Event-Triggered Optimization Over Time-Varying Directed Networks.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Evol. Comput., 2022
Event-Triggered Formation Control for a Class of Uncertain Euler-Lagrange Systems: Theory and Experiment.
IEEE Trans. Control. Syst. Technol., 2022
A surrogate-assisted evolutionary algorithm for expensive many-objective optimization in the refining process.
Swarm Evol. Comput., 2022
A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization.
Inf. Sci., 2022
Large-scale crude oil scheduling: A framework of hybrid optimization based on plan decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the Handbook of Real-Time Computing, 2022
2021
A Sparse Nonstationary Trigonometric Gaussian Process Regression and Its Application on Nitrogen Oxide Prediction of the Diesel Engine.
IEEE Trans. Ind. Informatics, 2021
2020
Twisting-Based Finite-Time Consensus for Euler-Lagrange Systems With an Event-Triggered Strategy.
IEEE Trans. Netw. Sci. Eng., 2020
Swarm Evol. Comput., 2020
Int. J. Bifurc. Chaos, 2020
Effective Resource Allocation in Cooperative Co-evolutionary Algorithm for Large-Scale Fully-Separable Problems.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Distributed Optimal Economic Dispatch with Uncoordinated Fixed Step Sizes for Microgrids.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
2019
High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach.
IEEE Trans. Ind. Informatics, 2019
Multi-objective differential evolution with dynamic hybrid constraint handling mechanism.
Soft Comput., 2019
A multi-population evolutionary algorithm with single-objective guide for many-objective optimization.
Inf. Sci., 2019
An adaptive decomposition-based evolutionary algorithm for many-objective optimization.
Inf. Sci., 2019
2018
Robust Order Scheduling in the Discrete Manufacturing Industry: A Multiobjective Optimization Approach.
IEEE Trans. Ind. Informatics, 2018
IEEE Access, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
IEEE Trans. Cybern., 2017
A Me-based rough approximation approach for multi-period and multi-product fashion assortment planning problem with substitution.
Expert Syst. Appl., 2017
Robust Order Scheduling in the Fashion Industry: A Multi-Objective Optimization Approach.
CoRR, 2017
2016
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
2015
A multiobjective optimization-based neural network model for short-term replenishment forecasting in fashion industry.
Neurocomputing, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Time series forecasting by neural networks: A knee point-based multiobjective evolutionary algorithm approach.
Expert Syst. Appl., 2014
2013
Exponential Synchronization of Coupled Switched Neural Networks With Mode-Dependent Impulsive Effects.
IEEE Trans. Neural Networks Learn. Syst., 2013