Ke Chen

46 papers A 1B 3Journal 40Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Dual-Surrogate Competition-Assisted Evolutionary Algorithm With Triggered Constraint First Search for Expensive Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Kunjie Yu, Yuhan Chai, Fan Chen, Ke Chen, Rui Nie
2026 J jnl
A hybrid method based on linear regression and genetic programming-based symbolic regression for short-term load forecasting.
Appl. Soft Comput.
Ying Bi, Mengying Guo, Quan Sui, Jing Liang, Kai Zhang, Ke Chen
2026 J jnl
A multi-channel signal fault diagnosis method based on dynamic weighted data fusion and multi-scale feature enhancement.
Expert Syst. Appl.
Ke Chen, Feilong Zhou, Fangfang Zhang, Kunjie Yu, Duo Yang
2026 J jnl
An efficient evolutionary feature selection algorithm with divide-and-conquer strategy for classification.
Expert Syst. Appl.
Ke Chen, Kun Liu, Peng Wang, Jing J. Liang, Zhile Yang, Kunjie Yu
2026 J jnl
An improved generalized evolutionary algorithm for constrained multimodal multiobjective optimization.
Complex Intell. Syst.
Caitong Yue, Wenhao Wu, Jing Liang, Ying Bi, Kunjie Yu, Ke Chen, Weifeng Guo
2026 J jnl
Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking.
IEEE Trans. Evol. Comput.
Dezheng Zhang, Kai Zhang, Kunjie Yu, Jing Liang, Kangjia Qiao, Boyang Qu, Ke Chen, Caitong Yue
2026 J jnl
Modal Detection Informed Classification Evaluation via Ensemble Networks for Expensive Constrained Multimodal Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Kunjie Yu, Fan Chen, Mingyuan Yu, Jing Liang, Ke Chen
2025 J jnl
A Multiform Framework for Multiobjective Feature Selection in Unbalanced Classification: Combining Oversampling and Cost-Sensitive Learning.
IEEE Trans. Syst. Man Cybern. Syst.
Jing J. Liang, Yu-Yang Zhang, Boyang Qu, Ke Chen, Kunjie Yu, Caitong Yue
2025 J jnl
A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification.
Knowl. Based Syst.
Ke Chen, Mingyang Dao, Ying Bi, Jing Liang, Zhenlong Wu, Peng Wang
2025 J jnl
Correlation-Guided Particle Swarm Optimization Approach for Feature Selection in Fault Diagnosis.
IEEE CAA J. Autom. Sinica
Ke Chen, Wenjie Wang, Fangfang Zhang, Jing J. Liang, Kunjie Yu
2025 B conf
Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis.
CEC
Ke Chen, Tianqing Wu, Ying Bi, Jing Liang, Kunjie Yu
2025 J jnl
Historical Information-Assisted Dynamic Response Integration and Adaptive Niche Methods for Dynamic Multimodal Optimization.
IEEE Trans. Evol. Comput.
Kunjie Yu, Xuyang Zhang, Dezheng Zhang, Jing J. Liang, Yumeng Li, Heshan Wang, Ke Chen, Caitong Yue
2025 J jnl
History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Dezheng Zhang, Kunjie Yu, Jing Liang, Kangjia Qiao, Boyang Qu, Ke Chen, Caitong Yue, Ling Wang
2025 J jnl
Objective-Constraint Correlation-Guided Evolutionary Direction Adaptive Adjustment for Expensive Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Kunjie Yu, Fan Chen, Jing J. Liang, Mingyuan Yu, Ke Chen, Caitong Yue, Ying Bi
2025 J jnl
Phenotype and Genotype Based Sample Aware Surrogate-Assisted Genetic Programming in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Artif. Intell.
Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang
2024 J jnl
A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Kunjie Yu, Dezheng Zhang, Jing Liang, Boyang Qu, Mengnan Liu, Ke Chen, Caitong Yue, Ling Wang
2024 J jnl
A Multiform Optimization Framework for Multiobjective Feature Selection in Classification.
IEEE Trans. Evol. Comput.
Jing Liang, Yuyang Zhang, Boyang Qu, Ke Chen, Kunjie Yu, Caitong Yue
2024 J jnl
A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification.
IEEE Trans. Syst. Man Cybern. Syst.
Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen, Boyang Qu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan
2024 J jnl
A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems.
Expert Syst. Appl.
Kangjia Qiao, Zhaolin Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ke Chen, Jing J. Liang
2024 J jnl
An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification.
Sci. China Inf. Sci.
Jing Liang, Yuyang Zhang, Ke Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan
2024 B conf
Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling.
CEC
Luyao Zhu, Fangfang Zhang, Mengyuan Feng, Ke Chen, Xiaodong Zhu, Mengjie Zhang
2024 J jnl
Manifold assistant multi-modal multi-objective differential evolution algorithm and its application in actual rolling bearing fault diagnosis.
Eng. Appl. Artif. Intell.
Xiongyan Yang, Xianfeng Yuan, Lin Dong, Xiaoxue Mei, Ke Chen
2023 J jnl
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Kunjie Yu, Dezheng Zhang, Jing Liang, Ke Chen, Caitong Yue, Kangjia Qiao, Ling Wang
2023 J jnl
A Survey on Evolutionary Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Jing J. Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, Kay Chen Tan
2023 J jnl
A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification.
Inf. Sci.
Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen, Boyang Qu, Caitong Yue, Ling Wang
2023 J jnl
An improved Kalman particle swarm optimization for modeling and optimizing of boiler combustion characteristics.
Robotica
Jing J. Liang, Hao Guo, Ke Chen, Kunjie Yu, Caitong Yue, Xia Li
2023 A conf
Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.
GECCO
Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang
2022 J jnl
Adaptive local landscape feature vector for problem classification and algorithm selection.
Appl. Soft Comput.
Yaxin Li, Jing J. Liang, Kunjie Yu, Ke Chen, Yinan Guo, Caitong Yue, Leiyu Zhang
2022 J jnl
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification.
IEEE Trans. Cybern.
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
2022 — conf
Application of an Improved Multimodal Multiobjective Algorithm in Feature Selection.
ICARM
Jing Liang, Yingjie Zhang, Caitong Yue, Kunjie Yu, Weifeng Guo, Ke Chen, Hongyu Lin, Boyang Qu
2022 J jnl
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization.
IEEE Trans. Evol. Comput.
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
2022 J jnl
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization.
IEEE Trans. Evol. Comput.
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
2022 J jnl
Hybrid particle swarm optimizer with fitness-distance balance and individual self-exploitation strategies for numerical optimization problems.
Inf. Sci.
Kaitong Zheng, Xianfeng Yuan, Qingyang Xu, Lin Dong, Bingshuo Yan, Ke Chen
2022 J jnl
Multi-heterogeneous sensor data fusion method via convolutional neural network for fault diagnosis of wheeled mobile robot.
Appl. Soft Comput.
Zhaoming Miao, Fengyu Zhou, Xianfeng Yuan, Yingxiang Xia, Ke Chen
2022 J jnl
Self-Attention Networks and Adaptive Support Vector Machine for aspect-level sentiment classification.
Soft Comput.
Meizhen Liu, Fengyu Zhou, Jiakai He, Ke Chen, Yang Zhao, Hongchang Sun
2021 J jnl
Co-attention networks based on aspect and context for aspect-level sentiment analysis.
Knowl. Based Syst.
Meizhen Liu, Fengyu Zhou, Ke Chen, Yang Zhao
2020 J jnl
Grey wolf optimizer with an enhanced hierarchy and its application to the wireless sensor network coverage optimization problem.
Appl. Soft Comput.
Zhaoming Miao, Xianfeng Yuan, Fengyu Zhou, Xuanjie Qiu, Yong Song, Ke Chen
2020 B conf
Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification.
CEC
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
2020 J jnl
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks.
Knowl. Based Syst.
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
2019 J jnl
Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection.
Expert Syst. Appl.
Ke Chen, Fengyu Zhou, Xianfeng Yuan
2018 J jnl
A hybrid particle swarm optimizer with sine cosine acceleration coefficients.
Inf. Sci.
Ke Chen, Fengyu Zhou, Lei Yin, Shuqian Wang, Yugang Wang, Fang Wan
2018 J jnl
An ameliorated particle swarm optimizer for solving numerical optimization problems.
Appl. Soft Comput.
Ke Chen, Fengyu Zhou, Yugang Wang, Lei Yin
2018 J jnl
Chaotic dynamic weight particle swarm optimization for numerical function optimization.
Knowl. Based Syst.
Ke Chen, Fengyu Zhou, Aling Liu
2018 J jnl
Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems.
J. Intell. Manuf.
Chao Liu, Peifeng Niu, Guoqiang Li, Yunpeng Ma, Weiping Zhang, Ke Chen
2018 — conf
Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy.
Australasian Conference on Artificial Intelligence
Ke Chen, Fengyu Zhou, Bing Xue
2017 J jnl
Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm.
Knowl. Based Syst.
Peifeng Niu, Ke Chen, Yunpeng Ma, Xia Li, Aling Liu, Guoqiang Li