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2020 – today
- 2025
[j24]Guo-Qiang Zeng, Zhen Qin, Kang-Di Lu, Li-Min Li:
CMOPEO-OP: Constrained multi-objective population extremal optimization-based optimal planning of standalone microgrids. Swarm Evol. Comput. 92: 101787 (2025)- 2024
- [j23]Jun-Min Shao
, Guo-Qiang Zeng, Kang-Di Lu, Guang-Gang Geng, Jian Weng:
Automated federated learning for intrusion detection of industrial control systems based on evolutionary neural architecture search. Comput. Secur. 143: 103910 (2024) - [j22]Yu Zhang, Guo-Qiang Zeng, Min-Rong Chen, Guang-Gang Geng, Jian Weng, Kang-Di Lu:
DoFA: Adversarial examples detection for SAR images by dual-objective feature attribution. Expert Syst. Appl. 255: 124705 (2024) - [j21]Guo-Qiang Zeng, Hai-Nan Wei, Kang-Di Lu, Guang-Gang Geng, Jian Weng:
DACO-BD: Data Augmentation Combinatorial Optimization-Based Backdoor Defense in Deep Neural Networks for SAR Image Classification. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j20]Kang-Di Lu, Le Zhou, Zheng-Guang Wu:
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6145-6155 (2024) - 2023
- [j19]Jia-Cheng Huang, Guo-Qiang Zeng, Guang-Gang Geng, Jian Weng, Kang-Di Lu, Yu Zhang:
Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems. Comput. Secur. 132: 103310 (2023) - [j18]Min-Rong Chen, Liu-Qing Yang, Guo-Qiang Zeng, Kang-Di Lu, Yi-Yuan Huang:
IFA-EO: An improved firefly algorithm hybridized with extremal optimization for continuous unconstrained optimization problems. Soft Comput. 27(6): 2943-2964 (2023) - 2022
- [j17]Kang-Di Lu, Zheng-Guang Wu:
Multi-Objective False Data Injection Attacks of Cyber-Physical Power Systems. IEEE Trans. Circuits Syst. II Express Briefs 69(9): 3924-3928 (2022) - [j16]Kang-Di Lu, Zheng-Guang Wu:
Constrained-Differential-Evolution-Based Stealthy Sparse Cyber-Attack and Countermeasure in an AC Smart Grid. IEEE Trans. Ind. Informatics 18(8): 5275-5285 (2022) - [j15]Kang-Di Lu, Zheng-Guang Wu:
Genetic Algorithm-Based Cumulative Sum Method for Jamming Attack Detection of Cyber-Physical Power Systems. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [c1]Kang-Di Lu, Zheng-Guang Wu:
An Ensemble Learning-Based Cyber-Attacks Detection Method of Cyber-Physical Power Systems. ICARM 2022: 1029-1034 - 2021
- [j14]Min-Rong Chen, Yi-Yuan Huang, Guo-Qiang Zeng, Kang-Di Lu, Liu-Qing Yang:
An improved bat algorithm hybridized with extremal optimization and Boltzmann selection. Expert Syst. Appl. 175: 114812 (2021) - [j13]Kang-Di Lu, Guo-Qiang Zeng, Xizhao Luo, Jian Weng, Weiqi Luo, Yongdong Wu:
Evolutionary Deep Belief Network for Cyber-Attack Detection in Industrial Automation and Control System. IEEE Trans. Ind. Informatics 17(11): 7618-7627 (2021) - 2020
- [j12]Min-Ying Li, Kang-Di Lu, Yu-Xing Dai, Guo-Qiang Zeng:
Fractional-Order Predictive Functional Control of Industrial Processes with Partial Actuator Failures. Complex. 2020: 4214102:1-4214102:26 (2020) - [j11]Min-Rong Chen, Bi-Peng Chen, Guo-Qiang Zeng, Kang-Di Lu, Ping Chu:
An adaptive fractional-order BP neural network based on extremal optimization for handwritten digits recognition. Neurocomputing 391: 260-272 (2020) - [j10]Feixiang Zhao, Guo-Qiang Zeng, Kang-Di Lu:
EnLSTM-WPEO: Short-Term Traffic Flow Prediction by Ensemble LSTM, NNCT Weight Integration, and Population Extremal Optimization. IEEE Trans. Veh. Technol. 69(1): 101-113 (2020) - [j9]Kang-Di Lu, Guo-Qiang Zeng, Xizhao Luo, Jian Weng, Yue Zhang, Ming Li:
An Adaptive Resilient Load Frequency Controller for Smart Grids With DoS Attacks. IEEE Trans. Veh. Technol. 69(5): 4689-4699 (2020)
2010 – 2019
- 2019
- [j8]Min-Rong Chen, Guo-Qiang Zeng, Kang-Di Lu, Jian Weng:
A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM. IEEE Internet Things J. 6(4): 6997-7010 (2019) - [j7]Min-Rong Chen, Guo-Qiang Zeng, Kang-Di Lu:
A many-objective population extremal optimization algorithm with an adaptive hybrid mutation operation. Inf. Sci. 498: 62-90 (2019) - [j6]Min-Rong Chen, Jun-Han Chen, Guo-Qiang Zeng, Kang-Di Lu, Xin-Fa Jiang:
An improved artificial bee colony algorithm combined with extremal optimization and Boltzmann Selection probability. Swarm Evol. Comput. 49: 158-177 (2019) - 2018
- [j5]Kang-Di Lu, Wuneng Zhou, Guoqiang Zeng, Wei Du:
Design of PID controller based on a self-adaptive state-space predictive functional control using extremal optimization method. J. Frankl. Inst. 355(5): 2197-2220 (2018) - 2016
- [j4]Li-Min Li, Kang-Di Lu, Guo-Qiang Zeng, Lie Wu, Min-Rong Chen:
A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization problems. Neurocomputing 174: 577-587 (2016) - [j3]Guo-Qiang Zeng, Haiyang Liu, Di Wu, Li-Min Li, Lie Wu, Yu-Xing Dai, Kang-Di Lu:
A Real-coded Extremal Optimization Method with Multi-non-uniform Mutation for the Design of Fractional Order PID Controllers. Inf. Technol. Control. 45(4): 358-375 (2016) - 2015
- [j2]Guo-Qiang Zeng, Jie Chen, Min-Rong Chen, Yu-Xing Dai, Li-Min Li, Kang-Di Lu, Chong-Wei Zheng:
Design of multivariable PID controllers using real-coded population-based extremal optimization. Neurocomputing 151: 1343-1353 (2015) - 2014
- [j1]Guo-Qiang Zeng, Kang-Di Lu, Yu-Xing Dai, Zhengjiang Zhang, Min-Rong Chen, Chong-Wei Zheng, Di Wu, Wen-Wen Peng:
Binary-coded extremal optimization for the design of PID controllers. Neurocomputing 138: 180-188 (2014)
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aka: Guo-Qiang Zeng
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