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

2023
A surrogate-assisted highly cooperative coevolutionary algorithm for hyperparameter optimization in deep convolutional neural networks.
Appl. Soft Comput., November, 2023

Data representation learning via dictionary learning and self-representation.
Appl. Intell., November, 2023

A multimodal evolutionary algorithm with multi-niche cooperation.
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

HDGN: Heat diffusion graph network for few-shot learning.
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

Evolutionary Multitasking with Search Direction Alignment.
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

Labeled-Robust Regression: Simultaneous Data Recovery and Classification.
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
Learning Graph Similarity With Large Spectral Gap.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Linear and Nonlinear Regression-Based Maximum Correntropy Extended Kalman Filtering.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Subspace clustering via stacked independent subspace analysis networks with sparse prior information.
Pattern Recognit. Lett., 2021

Surrogate-assisted cooperative signal optimization for large-scale traffic networks.
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

An eigenspace divide-and-conquer approach for large-scale optimization.
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

A Knowledge Transfer-Based Evolutionary Algorithm for Multimodal Optimization.
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

Hyperspectral Image Denoising Based on Nonlocal Low-Rank and TV Regularization.
Remote. Sens., 2020

Unsupervised Optical Flow Estimation Based on Improved Feature Pyramid.
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

Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization.
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
Output Feedback Stabilization for an Axially Moving System.
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

Optimal Open-Loop Control for 2-D Colloid Transport in the Dead-End Microchannel.
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

Surrogate model assisted cooperative coevolution for large scale optimization.
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

Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization.
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
Community Detection Using Dual-Representation Chemical Reaction Optimization.
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

Inferior solutions in Gaussian EDA: Useless or useful?
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

Collective motion of self-propelled particles without collision and fragmentation.
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

A Two Stages Invasive Weed Optimization via a New Clustering Strategy.
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
A Scatter Learning Particle Swarm Optimization Algorithm for Multimodal Problems.
IEEE Trans. Cybern., 2014

Improved Direct Power Control for Rectifier Based on Fuzzy Sliding Mode.
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
Solution to 3-D electromagnetic problems discretized by a hybrid FEM/MOM method.
Comput. Phys. Commun., 2013

A novel multimodal-problem-oriented particle swarm optimization algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Enhancing invasive weed optimization with taboo strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Community detection using Ant Colony Optimization.
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
An ant colony optimization approach for the multidimensional knapsack problem.
J. Heuristics, 2010

New ideas for applying ant colony optimization to the set covering problem.
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
Lanczos-type variants of the COCR method for complex nonsymmetric linear systems.
J. Comput. Phys., 2009

A modified T. Chan's preconditioner for Toeplitz systems.
Comput. Math. Appl., 2009

2008
An efficient ant colony optimization approach to attribute reduction in rough set theory.
Pattern Recognit. Lett., 2008

A fast and efficient ant colony optimization approach for the set covering problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008


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