(2)用於兆瓦級逆變系統的極值最佳化自整定數字PID控制方法,國家知識產權局,中國專利優秀獎,2018. (排名1/8)
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 Transactions on Industrial Informatics, 2021, DOI: 10.1109/TII.2021.3053304. (JCR/Q1)
Kang-Di Lu, Guo-Qiang Zeng*, Xizhao Luo*, Jian Weng, Yue Zhang, Min Li, An adaptive resilient load frequency controller for smart grids with DoS attacks, IEEE Transactions on Vehicular Technology, 2020, 69(5): 4689-4699. (JCR/Q1)
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 Transactions on Vehicular Technology, 2020, 69(1): 101-113. (JCR/Q1,ESI高倍引論文)
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 of Things Journal, 2019, 6(4): 6997-7010. (JCR/Q1)
Min-Rong Chen, Guo-Qiang Zeng*, Kang-Di Lu*, A many-objective population extremal optimization algorithm with an adaptive hybrid mutation operation, Information Sciences, 2019, 498: 62-90. (JCR/Q1)
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, 2020, 391:260-272. (JCR/Q1, IF2019= 4.438)
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 and Evolutionary Computation, 2019, 49:158-177. (JCR/Q1)
Min-Rong Chen, Guo-Qiang Zeng*, Kang-Di Lu*, Constrained multi-objective population extremal optimization based economic-emission dispatch incorporating renewable energy resources, Renewable Energy, 2019, 143: 277-294. (JCR/Q1)
Guo-Qiang Zeng*, Xiao-Qing Xie, Min-Rong Chen, Jian Weng*, Adaptive population extremal optimization based PID neural network for multivariable nonlinear control systems, Swarm and Evolutionary Computation, 2019, 44:320-334. (JCR/Q1,ESI高倍引論文)
Min-Rong Chen, Guo-Qiang Zeng*, Xiao-Qing Xie, Population extremal optimization-based extended distributed model predictive load frequency control of multi-area interconnected power systems, Journal of The Franklin Institute, 2018, 355: 8266-8295. (JCR/Q1)
Kang-Di Lu, Wu-Neng Zhou*, Guo-Qiang Zeng*, Yi-Yuan Zheng, Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system, International Journal of Electrical Power & Energy Systems, 2019, 105:249-271. (JCR/Q1, ESI高被引論文)
Guo-Qiang Zeng*, Jie Chen, Li-Min Li, Min-Rong Chen, Lie Wu, Yu-Xing Dai, Chong-Wei Zheng. An improved multi-objective population-based extremal optimization algorithm with polynomial mutation. Information Sciences, 2016, 330: 49-73. (JCR/Q1)
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, 2016, 174: 577-587. (JCR/Q1)
Guo-Qiang Zeng*, Jie Chen, Yu-Xing Dai, Li-Min Li, Chong-Wei Zheng, Min-Rong Chen. Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization, Neurocomputing, 2015, 160: 173-184. (JCR/Q1,Google 學術搜尋引用166次)
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, 2015, 151:1343-1353. (JCR/Q1)
Min-Rong Chen*, Yi-Yuang Huang, Guo-Qiang Zeng*, Kang-Di Lu, Liu-Qing Yang, An improved bat algorithm hybridized with extremal optimization and Boltzmann selection. Expert Systems with Applications, 2021. (JCR/Q1, Accepted)
Zishun Peng, Jun Wang, Zeng Liu, Yuxing Dai, Guoqiang Zeng, John Shen, Fault-tolerant inverter operation based on Si/SiC hybrid switches, IEEE Journal of Emerging and Selected Topics in Power Electronics, 2020, 8(1): 545-556. (JCR/Q1)
Zishun Peng, Jun Wang*, Zeng Liu, Zongjian Li, Daming Wang, Yuxing Dai*, Guo-Qiang Zeng, Z. John Shen, Adaptive gate delay-time control of Si/SiC hybrid switch for efficiency improvement in inverters, IEEE Transactions on Power Electronics, 2021, 36(3): 3437-3449. (JCR/Q1)
Zishun Peng, Jun Wang*, Zeng Liu, Zongjian Li, Yuxing Dai*, Guo-Qiang Zeng, Z. John Shen, A variable-frequency current-dependent switching strategy to improve tradeoff between efficiency and SiC MOSFET overcurrent stress in Si/SiC hybrid switch based inverters, IEEE Transactions on Power Electronics, 2021, 36(4): 4877-4886. (JCR/Q1)
Jie Chen, Guo-Qiang Zeng, Wu-Neng Zhou, Wei Du, Kang-Di Lu, Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization, Energy Conversion and Management, 2018, 165:681–695. (JCR/Q1, IF2018=7.181, ESI高被引論文)
Kang-Di Lu, Wu-Neng Zhou, Guo-Qiang Zeng, Wei Du, Design of PID controller based on a self-adaptive state-space predictive functional control using extremal optimization method, Journal of the Franklin Institute, 2018, 355(5):2197-2220. (JCR/Q1)