|Citation:||LU Na, MA Long. Quantum Wolf Pack Evolutionary Algorithm of Weight Decision-Making Based on Fuzzy Control[J]. Chinese Journal of Electronics. doi: 10.1049/cje.2021.00.217|
MECH L D, The Wolf: The Ecology and Behavior of an Endangered Species, USA: New York Natural History Press, 1970.
Mirjalili S, Mirjalili S M, and Lewis A, “Grey wolf optimizer,” Advances in Engineering Software, vol.69, no.3, pp.46–61, 2014.
Emary E, Zawba H M, and Hassanien A E, “Binary grey wolf optimization approaches for feature selection,” Neurocomputing, vol.172, no.6, pp.371–381, 2016.
Xian S, Li T, and Cheng Y, “A novel fuzzy time series forecasting model based on the hybrid wolf pack algorithm and ordered weighted averaging aggregation operator,” International Journal of Fuzzy Systems, vol.22, no.6, pp.1832–1850, 2020. doi: 10.1007/s40815-020-00906-w
Feng X, Hu K, and Lou X, “Infrared and visible image fusion based on the total variationalmodel and adaptive wolf pack algorithm,” IEEE Access, vol.8, pp.2348–2361, 2020. doi: 10.1109/ACCESS.2019.2962560
LIU Cong, FEI Wei, and HU Sheng, “Review on research and application of wolf pack algorithm,” Science Technology and Engineering, vol.20, no.5, pp.21–29, 2020.
Ting Wang, Hailin Tang, Yuebao Yu, et al., “Array antenna pattern synthesis based on selective levy flight culture wolf pack algorithm,” Journal of Harbin Institute of Technology (New Series), vol.27, no.5, pp.72–84, 2020.
D. X. Wang, H. B. Wang, X. J. Ban, et al., “An adaptive, discrete space oriented wolf pack optimization algorithm for a movable wireless sensor network,” Sensors, vol.19, no.19, article no.4320, 2019. doi: DOI:10.3390/s19194320
Reddy S, PanwarL, Panigrahi B K, et al., “Meta-heuristic framework: Quantum inspired binary grey wolf optimizer for unit commitment problem,” Computers and Electrical Engineering, vol.70, pp.243–260, 2018. doi: DOI:10.1016/j.compeleceng.2017.07.023
Chen Q, Liao W, and Yang D, “Reactive power optimization of active distribution network based on improved wolf pack algorithm,” Distribution & Utilization, vol.36, no.1, pp.46–53, 2019. (in Chinese)
Liu H, Sun R, and Liu Q, “The tactics of ship collision avoidance based on quantum‐behaved wolf pack algorithm,” Concurrency and Computation: Practice and Experience, vol.32, no.1, article no.e5196, 2019. doi: DOI:10.1002/cpe.5196
Von Neumann J and Burks A W, Theory of Self-Reproducing Automata, Urbana: University of Illinois Press, 1966.
Zhao Zhijin, ZhengShilian, ShangJunna, et al., “A study of cognitive radio decision engine based on quantum genetic algorithm,” Acta Physica Sinica, vol.56, no.11, pp.6760–6766, 2007.