Zhigang Ren
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
A surrogate-assisted evolutionary algorithm with knowledge transfer for expensive multimodal optimization problems.
Inf. Sci., January, 2024
Residual neural network-based observer design for continuous stirred tank reactor systems.
Commun. Nonlinear Sci. Numer. Simul., January, 2024
Interpretable domain knowledge enhanced machine learning framework on axial capacity prediction of circular CFST columns.
CoRR, 2024
Chain-Splitting-Solving-Splicing Approach to Large-Scale OFISP-Modeled Satellite Range Scheduling Problem.
IEEE Access, 2024
2023
A surrogate-assisted highly cooperative coevolutionary algorithm for hyperparameter optimization in deep convolutional neural networks.
Appl. Soft Comput., November, 2023
Appl. Intell., November, 2023
Expert Syst. Appl., June, 2023
A surrogate-assisted variable grouping algorithm for general large-scale global optimization problems.
Inf. Sci., April, 2023
Aligning heterogeneous optimization problems with optimal correspondence assisted affine transformation for evolutionary multi-tasking.
Appl. Soft Comput., March, 2023
An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization.
IEEE Trans. Evol. Comput., 2023
Robust H<sub>∞</sub> Control for Semilinear Parabolic Distributed Parameter Systems With External Disturbances via Mobile Actuators and Sensors.
IEEE Trans. Cybern., 2023
Fusion of infrared and visible images based on discrete cosine wavelet transform and high pass filter.
Soft Comput., 2023
Pattern Recognit. Lett., 2023
Optimal navigation for AGVs: A soft actor-critic-based reinforcement learning approach with composite auxiliary rewards.
Eng. Appl. Artif. Intell., 2023
A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network.
CoRR, 2023
Transitive Reduction Approach to Large-Scale Parallel Machine Rescheduling Problem With Controllable Processing Times, Precedence Constraints and Random Machine Breakdown.
IEEE Access, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Learning-PDE-Based Approximate Optimal Control for an MHD System With Uncertainty Quantification.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Cybern., 2022
Optimal Switching Time Control for Suppressing Residual Vibration in a High-Speed Macro-Micro Manipulator System.
IEEE Trans. Control. Syst. Technol., 2022
Scheduling and Planning Framework for Time Delay Integration Imaging by Agile Satellite.
IEEE Trans. Aerosp. Electron. Syst., 2022
Iterative learning feedback control for linear parabolic distributed parameter systems with multiple collocated piecewise observation.
J. Frankl. Inst., 2022
EU-Net: A novel semantic segmentation architecture for surface defect detection of mobile phone screens.
IET Image Process., 2022
A Chattering-Reduction Sliding Mode Control Algorithm for Affine Systems With Input Matrix Uncertainty.
IEEE Access, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Subspace clustering via stacked independent subspace analysis networks with sparse prior information.
Pattern Recognit. Lett., 2021
Knowl. Based Syst., 2021
Deep neural networks-based real-time optimal navigation for an automatic guided vehicle with static and dynamic obstacles.
Neurocomputing, 2021
The information security transmission method for intelligent examination based on ZigBee communication.
Int. J. Inf. Commun. Technol., 2021
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection.
CoRR, 2021
Robust H ∞ Feedback Compensator Design for Linear Parabolic DPSs with Pointwise/Piecewise Control and Pointwise/Piecewise Measurement.
Complex., 2021
Appl. Soft Comput., 2021
Research on Distributed Edge Computing Architecture Scheme for Cable Status Awareness.
Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Vibration Suppression of a High-Speed Macro-Micro Integrated System Using Computational Optimal Control.
IEEE Trans. Ind. Electron., 2020
Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction With Archive.
IEEE Trans. Cybern., 2020
Remote. Sens., 2020
Neural Process. Lett., 2020
Real-time computational optimal control of an MHD flow system with parameter uncertainty quantification.
J. Frankl. Inst., 2020
Scalable spectral ensemble clustering via building representative co-association matrix.
Neurocomputing, 2020
IEEE Access, 2020
Traffic Signal Optimization with Estimation of Distribution Algorithms and VISSIM-MATLAB Integrated Simulation Platform.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
IEEE Trans. Syst. Man Cybern. Syst., 2019
Boundary Adaptive Robust Control of a Flexible Riser System With Input Nonlinearities.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy.
IEEE Trans. Cybern., 2019
IEEE Trans. Control. Syst. Technol., 2019
Boundary stabilization of a class of reaction-advection-diffusion systems via a gradient-based optimization approach.
J. Frankl. Inst., 2019
Optimal matching control of a low energy charged particle beam in particle accelerators.
IEEE CAA J. Autom. Sinica, 2019
Optimal valve closure operations for pressure suppression in fluid transport pipelines.
IEEE CAA J. Autom. Sinica, 2019
An efficient estimation of distribution algorithm with rank-one modification and population reduction.
Biosyst., 2019
Appl. Intell., 2019
Computational Optimal Boundary Control for Water Pressure Suppression Arising in a Fluid Flow System Modeled by Hyperbolic PDEs.
IEEE Access, 2019
A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Research on Control Strategy of Excitation-loss for DSEM based on Full-bridge Converter.
Proceedings of the IECON 2019, 2019
2018
Distributed Algorithm for Voronoi Partition of Wireless Sensor Networks with a Limited Sensing Range.
Sensors, 2018
Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm.
Knowl. Based Syst., 2018
A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems.
CoRR, 2018
CoRR, 2018
Vibration Boundary Control for a One-Dimensional Flexible Beam System With Restricted Input.
IEEE Access, 2018
Dynamic Optimal Control of a One-Dimensional Magnetohydrodynamic System With Bilinear Actuation.
IEEE Access, 2018
Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
A global information based adaptive threshold for grouping large scale optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
A historical interdependency based differential grouping algorithm for large scale global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
IEEE Trans. Cybern., 2017
Backstepping stabilization of the Fitzhugh-Nagumo system arising in nonlinear spatial-temporal evolutionary processes.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Dynamic optimization of open-loop input signals for ramp-up current profiles in tokamak plasmas.
Commun. Nonlinear Sci. Numer. Simul., 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
A vision-based auxiliary system of multirotor unmanned aerial vehicles for autonomous rendezvous and docking.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Enhance continuous estimation of distribution algorithm by variance enlargement and reflecting sampling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Effective preconditioning through minimum degree ordering interleaved with incomplete factorization.
J. Comput. Appl. Math., 2015
Optimal boundary control for water hammer suppression in fluid transmission pipelines.
Comput. Math. Appl., 2015
Output stabilization of boundary-controlled parabolic PDEs via gradient-based dynamic optimization.
Proceedings of the American Control Conference, 2015
2014
IEEE Trans. Cybern., 2014
IEEE Trans. Control. Syst. Technol., 2014
A Numerical Method of the Euler-Bernoulli Beam with Optimal Local Kelvin-Voigt Damping.
J. Appl. Math., 2014
2013
Comput. Phys. Commun., 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Malicious data injection attack against power system state estimation based on orthogonal matching pursuit.
Proceedings of the 9th Asian Control Conference, 2013
2012
Fusing ant colony optimization with Lagrangian relaxation for the multiple-choice multidimensional knapsack problem.
Inf. Sci., 2012
2010
J. Heuristics, 2010
Comput. Ind. Eng., 2010
An ant colony optimization approach to the multiple-choice multidimensional knapsack problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
2009
J. Comput. Phys., 2009
2008
An efficient ant colony optimization approach to attribute reduction in rough set theory.
Pattern Recognit. Lett., 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008