| Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization J Chen, GQ Zeng, W Zhou, W Du, KD Lu Energy conversion and management 165, 681-695, 2018 | 299 | 2018 |
| Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization GQ Zeng, J Chen, YX Dai, LM Li, CW Zheng, MR Chen Neurocomputing 160, 173-184, 2015 | 274 | 2015 |
| Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems GQ Zeng, XQ Xie, MR Chen, J Weng Swarm and evolutionary computation 44, 320-334, 2019 | 182 | 2019 |
| A two-layer nonlinear combination method for short-term wind speed prediction based on ELM, ENN, and LSTM MR Chen, GQ Zeng, KD Lu, J Weng IEEE Internet of Things Journal 6 (4), 6997-7010, 2019 | 169 | 2019 |
| Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system K Lu, W Zhou, G Zeng, Y Zheng International Journal of Electrical Power & Energy Systems 105, 249-271, 2019 | 148 | 2019 |
| An improved multi-objective population-based extremal optimization algorithm with polynomial mutation GQ Zeng, J Chen, LM Li, MR Chen, L Wu, YX Dai, CW Zheng Information Sciences 330, 49-73, 2016 | 102 | 2016 |
| EnLSTM-WPEO: Short-term traffic flow prediction by ensemble LSTM, NNCT weight integration, and population extremal optimization F Zhao, GQ Zeng, KD Lu IEEE Transactions on Vehicular Technology 69 (1), 101-113, 2019 | 99 | 2019 |
| Binary-coded extremal optimization for the design of PID controllers GQ Zeng, KD Lu, YX Dai, ZJ Zhang, MR Chen, CW Zheng, D Wu, ... Neurocomputing 138, 180-188, 2014 | 87 | 2014 |
| A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization problems LM Li, KD Lu, GQ Zeng, L Wu, MR Chen Neurocomputing 174, 577-587, 2016 | 75 | 2016 |
| Design of a fractional order frequency PID controller for an islanded microgrid: A multi-objective extremal optimization method H Wang, G Zeng, Y Dai, D Bi, J Sun, X Xie Energies 10 (10), 1502, 2017 | 73 | 2017 |
| Constrained multi-objective population extremal optimization based economic-emission dispatch incorporating renewable energy resources MR Chen, GQ Zeng, KD Lu Renewable Energy 143, 277-294, 2019 | 71 | 2019 |
| Design of multivariable PID controllers using real-coded population-based extremal optimization GQ Zeng, J Chen, MR Chen, YX Dai, LM Li, KD Lu, CW Zheng Neurocomputing 151, 1343-1353, 2015 | 62 | 2015 |
| Modified extremal optimization for the hard maximum satisfiability problem G Zeng, Y Lu, WJ Mao Journal of Zhejiang University SCIENCE C 12 (7), 589-596, 2011 | 56 | 2011 |
| An adaptive resilient load frequency controller for smart grids with DoS attacks KD Lu, GQ Zeng, X Luo, J Weng, Y Zhang, M Li IEEE Transactions on Vehicular Technology 69 (5), 4689-4699, 2020 | 53 | 2020 |
| An adaptive model predictive load frequency control method for multi-area interconnected power systems with photovoltaic generations GQ Zeng, XQ Xie, MR Chen Energies 10 (11), 1840, 2017 | 50 | 2017 |
| Design of PID controller based on a self-adaptive state-space predictive functional control using extremal optimization method K Lu, W Zhou, G Zeng, W Du Journal of the Franklin Institute 355 (5), 2197-2220, 2018 | 46 | 2018 |
| An adaptive fractional-order BP neural network based on extremal optimization for handwritten digits recognition MR Chen, BP Chen, GQ Zeng, KD Lu, P Chu Neurocomputing 391, 260-272, 2020 | 45 | 2020 |
| Double closed-loop PI control of three-phase inverters by binary-coded extremal optimization YX Dai, H Wang, GQ Zeng IEEE Access 4, 7621-7632, 2016 | 44 | 2016 |
| An Backbone Guided Extremal Optimization Method for Solving the Hard Maximum Satisfiability Problem G Zeng, C Zheng, Z Zhang, Y Lu 2012 International Conference on Computer Application and System Modeling …, 2012 | 43 | 2012 |
| A many-objective population extremal optimization algorithm with an adaptive hybrid mutation operation MR Chen, GQ Zeng, KD Lu Information Sciences 498, 62-90, 2019 | 39 | 2019 |
Min-Rong ChenSchool of Computer Science, South China Normal University在 m.scnu.edu.cn 的电子邮件经过验证
