[1]Shaowu Zhou, Qing Xiao, Lianghong Wu*. Probabilistic power flow analysis with correlated wind speeds. Renewable Energy, 2020, 145:2169-2177.
[2]Ming Lu, Duan, Liu, Yupeng Deng*, Lianghong Wu, et al. R-K algorithm: A novel dynamic feature matching method of flotation froth. Measurement, 2020, 156:107581.
[3]Ke Shi, Dong Cheng*, Xiaofang Yuan, Liangjiang Liu, Lianghong Wu. Interacting multiple model-based adaptive control system for stable steering of distributed driver electric vehicle under various road excitations. ISA Transactions, 2020.
[4]Panpan Mei, Lianghong Wu*, Hongqiang Zhang and Zhenzu Liu. A hybrid multi-objective crisscross optimization for dynamic economic/emission dispatch considering plug-in electric vehicles penetration. Energies, 2019, 12(20):3847.
[5]Qing Xiao, Shaowu Zhou, Lianghong Wu*. Investigating univariate dimension reduction model for probabilistic power flow computation. Electric Components and Systems, 2019, 47(6-7):561-572.
[6]Bowen Zhou, Yanbin Li, Ming Lu, Lianghong Wu*. A high-throughput system for automated bottle mouth defects inspection. Int. J. Signal and Imaging Systems Engineering, 2019, 11(5): 279-297.
[7]Lianghong Wu*, Zhao-Hua Liu, Hua-Liang Wei, Qing-Chang Zhong, Xiao-Shi Xiao. Parameter identification of permanent magnet synchronous machine based on an adaptive mutation dynamic differential evolution. ASME Journal of Dynamic Systems, Measurement and Control, 2017, 139(6):061006-061006-9.
[8]Cili Zuo, Lianghong Wu*, Zhao-Fu Zeng, Hua-Liang Wei. Stochastic fractal based multi-objective fruit fly optimization. International Journal of Applied Mathematics and Computer Science, 2017, 27(2):417-433.
[9]Lianghong Wu*, Cili Zuo, Hongqiang Zhang. A cloud model based fruit fly optimization algorithm. Knowledge-Based Systems, 2015, 89:603-617.
[10]Lianghong Wu*, Cili Zuo, Hongqiang Zhang, et al. Bimodal fruit fly optimization algorithm based on cloud model learning, Soft Computing, 2017, 21(7):1877-1893.