参考文献
[1] Sun Jun, Feng Bin, Xu Wenbo. Particle Swarm Optimization with Particles Having Quantum Behavior[C]//Proc. of 2004 Congress on Evolutionary Computation. Piscataway, USA: [s. n.], 2004.
[2] Sun Jun, Xu Wenbo, Feng Bin. A Global Search Strategy of Quantum-behaved Particle Swarm Optimization[C]//Proc. of IEEE Conference on Cybernetics and Intelligent Systems. Singapore: IEEE Press, 2004.
[3] 李盼池, 王海英. 量子势阱粒子群优化算法的改进研究[J]. 物理学报, 2012, 61(6): 19-27.
[4] 方 伟, 孙 俊, 谢振平, 等. 量子粒子群优化算法的收敛性分析及控制参数研究[J]. 物理学报, 2010, 59(6): 3686- 3694.
[5] 黄泽霞, 俞攸红. 惯性权自适应调整的量子粒子群算法[J].上海交通大学学报, 2012, 46(2): 228-232.
[6] 程 伟, 陈森发. 权重自适应调整的混沌量子粒子群优 化[J]. 计算机工程与应用, 2010, 46(9): 46-48.
[7] Gong Shangfu, Gong Xingyu, Bi Xiaoru. Feature Selection Method for Network Intrusion Based on GQPSO Attribute Reduction[C]//Proc. of International Conference on Multimedia Technology. Hangzhou, China: [s. n.], 2011.
[8] Lu Kezhong, Fang Kangnian, Xie Guangqian. A Hybrid Quantum-behaved Particle Swarm Optimization Algorithm for Clustering Analysis[C]//Proc. of the 5th International Conference on Fuzzy Systems and Knowledge Discovery. Jinan, China: [s. n.], 2008.
[9] 胡苓苓, 郭业才. 基于QPSO的小波分数间隔盲均衡算 法[J]. 计算机工程, 2011, 37(24): 195-197.
[10] 汤可宗, 柳炳祥. 双中心粒子优化算法[J]. 计算机研究与发展, 2012, 49(5): 1086-1094.
[11] Li Yangyang, Xiang Ronggong, Jiao Licheng. An Improved Cooperative Quantum-behaved Particle Swarm Optimization [J]. Soft Computing, 2012, 16(6): 1061-1069.
[12] Kennedy J, Eberhart R. Particle Swarm Optimization[C]//Proc. of IEEE International Conference on Neural Networks. Piscataway, USA: IEEE Press, 1995.
[13] Sun Jun, Fang Wei, Wu Xiaojun. Quantum-behaved Particle Swarm Optimization: Analysis of the Individual Particle’s Behavior and Parameter Selection[J]. Evolutionary Compu- tation, 2012, 20(3): 349-393.
[14] Zhu Haodong, Zhong Yong. Study of Optimized RBF Network in Feature Selection[J]. Journal of Microcomputer & Its Applications, 2009, 28(15): 76-79.
[15] Liu Junhui, Li Na. Parallel Adaptive Immune Quantum-Behaved Particle Swarm Optimization Algorithm(PAIQPSO)[C]//Proc. of International Conference on Intelligent Systems Design and Engineering Application. Sanya, China: [s. n.], 2012.
[16] 陈 伟, 周 頔, 孙俊陈, 等. 一种采用完全学习策略的量子行为粒子群优化算法[J]. 控制与决策, 2012, 27(5): 719- 730.
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