Jinliang Ding

According to our database1, Jinliang Ding authored at least 62 papers between 2006 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2021
DMGAN: Adversarial Learning-Based Decision Making for Human-Level Plant-Wide Operation of Process Industries Under Uncertainties.
IEEE Trans. Neural Networks Learn. Syst., 2021

Reinforcement Learning Based Decision Making of Operational Indices in Process Industry Under Changing Environment.
IEEE Trans. Ind. Informatics, 2021

Knee-Based Decision Making and Visualization in Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2021

2020
Robust Event-Triggered Model Predictive Control for Multiple High-Speed Trains With Switching Topologies.
IEEE Trans. Veh. Technol., 2020

Ensemble Stochastic Configuration Networks for Estimating Prediction Intervals: A Simultaneous Robust Training Algorithm and Its Application.
IEEE Trans. Neural Networks Learn. Syst., 2020

Mixed-Distribution-Based Robust Stochastic Configuration Networks for Prediction Interval Construction.
IEEE Trans. Ind. Informatics, 2020

Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions.
IEEE Trans. Evol. Comput., 2020

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2020

Nonzero-Sum Game Reinforcement Learning for Performance Optimization in Large-Scale Industrial Processes.
IEEE Trans. Cybern., 2020

Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties.
IEEE Trans. Control. Syst. Technol., 2020

Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines.
Neurocomputing, 2020

Robust Optimal Tracking Control for Linear Systems via Adaptive Dynamic Programming method.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019
Link Quality Estimation in Industrial Temporal Fading Channel With Augmented Kalman Filter.
IEEE Trans. Ind. Informatics, 2019

Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Generalized Multitasking for Evolutionary Optimization of Expensive Problems.
IEEE Trans. Evol. Comput., 2019

Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems.
IEEE Trans. Cybern., 2019

Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes.
IEEE Trans Autom. Sci. Eng., 2019

Effective Hot Rolling Batch Scheduling Algorithms in Compact Strip Production.
IEEE Trans Autom. Sci. Eng., 2019

To the special Issue on "Metaheuristics for optimization of complex process engineering".
Nat. Comput., 2019

Constrained dynamic multi-objective evolutionary optimization for operational indices of beneficiation process.
J. Intell. Manuf., 2019

Construction of prediction intervals for carbon residual of crude oil based on deep stochastic configuration networks.
Inf. Sci., 2019

Evolutionary Optimization of Liquid State Machines for Robust Learning.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

A Novel On-line VI-ADP for Nonlinear Discrete-time Systems.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Reference Vector Based Multidirectional Prediction for Evolutionary Dynamic Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

NMR principle analysis based object detection for intelligent measurement of crude oil moisture content.
Proceedings of the 12th Asian Control Conference, 2019

2018
Off-Policy Q-Learning: Set-Point Design for Optimizing Dual-Rate Rougher Flotation Operational Processes.
IEEE Trans. Ind. Electron., 2018

A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems.
Memetic Comput., 2018

Incremental data-driven optimization of complex systems in nonstationary environments.
Sci. China Inf. Sci., 2018

Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system.
Appl. Soft Comput., 2018

2017
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput., 2017

Special issue on "Data-driven evolutionary optimization".
Soft Comput., 2017

An online learning neural network ensembles with random weights for regression of sequential data stream.
Soft Comput., 2017

Thematic issue on "bio-inspired learning for data analysis".
Memetic Comput., 2017

Two-stage assortative mating for multi-objective multifactorial evolutionary optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Gasoline dry point prediction of fractionation processes using dynamic inner partial least squares.
Proceedings of the 11th Asian Control Conference, 2017

2016
Data-Based Multiobjective Plant-Wide Performance Optimization of Industrial Processes Under Dynamic Environments.
IEEE Trans. Ind. Informatics, 2016

Toward a Resilient Holistic Supply Chain Network System: Concept, Review and Future Direction.
IEEE Syst. J., 2016

An intelligent factory-wide optimal operation system for continuous production process.
Enterp. Inf. Syst., 2016

A preferred learning based adaptive differential evolution algorithm for large scale optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Small data driven evolutionary multi-objective optimization of fused magnesium furnaces.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Reference point based prediction for evolutionary dynamic multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014
Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control.
IEEE Trans Autom. Sci. Eng., 2014

Integrated Optimization for the Automation Systems of Mineral Processing.
IEEE Trans Autom. Sci. Eng., 2014

Data-based adaptive online prediction model for plant-wide production indices.
Knowl. Inf. Syst., 2014

GA-based principal component selection for production performance estimation in mineral processing.
Comput. Electr. Eng., 2014

Robust prediction for quality of industrial processes.
Proceedings of the IEEE International Conference on Information and Automation, 2014

Effect of pseudo gradient on differential evolutionary for global numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing.
Appl. Soft Comput., 2013

Iterative learning based particle size distribution control in grinding process using output PDF method.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013

2012
Knowledge-Based Global Operation of Mineral Processing Under Uncertainty.
IEEE Trans. Ind. Informatics, 2012

Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process.
Eng. Appl. Artif. Intell., 2012

2011
Offline Modeling for Product Quality Prediction of Mineral Processing Using Modeling Error PDF Shaping and Entropy Minimization.
IEEE Trans. Neural Networks, 2011

2010
Stability and strong passivity of nonlinear descriptor systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Large-dimensional multi-objective evolutionary algorithms based on improved average ranking.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Dynamic prediction model for mixed concentrate grade of mineral processing plant.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Data mining based feedback regulation in operation of hematite ore mineral processing plant.
Proceedings of the American Control Conference, 2009

2008
Case-Based Decision Making Model for Supervisory Control of Ore Roasting Process.
Proceedings of the Advances in Neural Networks, 2008

2007
An intelligent approach for supervisory control of grinding product particle size.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Interactive Software Platform of Intelligent Supervisory Control for the Mineral Grinding Process.
Proceedings of the IEEE International Conference on Control Applications, 2007

2006
Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006


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