Ke Chen

Orcid: 0000-0002-8977-6248

Affiliations:
  • Zhengzhou University, School of Electrical and Information Engineering, China
  • Shandong University, Jinan, China (PhD 2021)


According to our database1, Ke Chen authored at least 46 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Dual-Surrogate Competition-Assisted Evolutionary Algorithm With Triggered Constraint First Search for Expensive Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst., May, 2026

Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking.
IEEE Trans. Evol. Comput., April, 2026

Modal Detection Informed Classification Evaluation via Ensemble Networks for Expensive Constrained Multimodal Optimization.
IEEE Trans. Neural Networks Learn. Syst., February, 2026

A multi-channel signal fault diagnosis method based on dynamic weighted data fusion and multi-scale feature enhancement.
Expert Syst. Appl., 2026

An efficient evolutionary feature selection algorithm with divide-and-conquer strategy for classification.
Expert Syst. Appl., 2026

An improved generalized evolutionary algorithm for constrained multimodal multiobjective optimization.
Complex Intell. Syst., 2026

A hybrid method based on linear regression and genetic programming-based symbolic regression for short-term load forecasting.
Appl. Soft Comput., 2026

2025
History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., December, 2025

Phenotype and Genotype Based Sample Aware Surrogate-Assisted Genetic Programming in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Artif. Intell., December, 2025

Correlation-Guided Particle Swarm Optimization Approach for Feature Selection in Fault Diagnosis.
IEEE CAA J. Autom. Sinica, November, 2025

Historical Information-Assisted Dynamic Response Integration and Adaptive Niche Methods for Dynamic Multimodal Optimization.
IEEE Trans. Evol. Comput., October, 2025

Objective-Constraint Correlation-Guided Evolutionary Direction Adaptive Adjustment for Expensive Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst., August, 2025

A Multiform Framework for Multiobjective Feature Selection in Unbalanced Classification: Combining Oversampling and Cost-Sensitive Learning.
IEEE Trans. Syst. Man Cybern. Syst., August, 2025

A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification.
Knowl. Based Syst., 2025

Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024
A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024

A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., August, 2024

A Multiform Optimization Framework for Multiobjective Feature Selection in Classification.
IEEE Trans. Evol. Comput., August, 2024

A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems.
Expert Syst. Appl., March, 2024

Manifold assistant multi-modal multi-objective differential evolution algorithm and its application in actual rolling bearing fault diagnosis.
Eng. Appl. Artif. Intell., 2024

An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification.
Sci. China Inf. Sci., 2024

Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification.
Inf. Sci., November, 2023

A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., October, 2023

A Survey on Evolutionary Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., April, 2023

An improved Kalman particle swarm optimization for modeling and optimizing of boiler combustion characteristics.
Robotica, April, 2023

Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2022

Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2022

An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification.
IEEE Trans. Cybern., 2022

Self-Attention Networks and Adaptive Support Vector Machine for aspect-level sentiment classification.
Soft Comput., 2022

Hybrid particle swarm optimizer with fitness-distance balance and individual self-exploitation strategies for numerical optimization problems.
Inf. Sci., 2022

Multi-heterogeneous sensor data fusion method via convolutional neural network for fault diagnosis of wheeled mobile robot.
Appl. Soft Comput., 2022

Adaptive local landscape feature vector for problem classification and algorithm selection.
Appl. Soft Comput., 2022

Application of an Improved Multimodal Multiobjective Algorithm in Feature Selection.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
Co-attention networks based on aspect and context for aspect-level sentiment analysis.
Knowl. Based Syst., 2021

2020
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks.
Knowl. Based Syst., 2020

Grey wolf optimizer with an enhanced hierarchy and its application to the wireless sensor network coverage optimization problem.
Appl. Soft Comput., 2020

Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection.
Expert Syst. Appl., 2019

2018
Chaotic dynamic weight particle swarm optimization for numerical function optimization.
Knowl. Based Syst., 2018

Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems.
J. Intell. Manuf., 2018

A hybrid particle swarm optimizer with sine cosine acceleration coefficients.
Inf. Sci., 2018

An ameliorated particle swarm optimizer for solving numerical optimization problems.
Appl. Soft Comput., 2018

Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm.
Knowl. Based Syst., 2017


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