[1] Kennedy J, Eberhart R. Particle swarm optimization. In:Proceedings of the 1995 IEEE International Conference on Neural Networks. Perth, Australia:IEEE, 1995. 1942-1948 http://www.oalib.com/references/17617167
[2] Shi Y, Eberhart R. A modified particle swarm optimizer. In:Proceedings of the 1998 IEEE International Conference on Evolutionary Computation. Anchorage, AK, USA:IEEE, 1998. 69-73
[3] 张勇, 巩敦卫, 张婉秋.一种基于单纯形法的改进微粒群优化算法及其收敛性分析.自动化学报, 2009, 35(3):289-298 doi: 10.3724/SP.J.1004.2009.00289

Zhang Yong, Gong Dun-Wei, Zhang Wan-Qiu. A simplex method based improved particle swarm optimization and analysis on its global convergence. Acta Automatica Sinica, 2009, 35(3):289-298 doi: 10.3724/SP.J.1004.2009.00289
[4] 潘峰, 周倩, 李位星, 高琪.标准粒子群优化算法的马尔科夫链分析.自动化学报, 2013, 39(4):381-389 doi: 10.1016/S1874-1029(13)60037-3

Pan Feng, Zhou Qian, Li Wei-Xing, Gao Qi. Analysis of standard particle swarm optimization algorithm based on Markov chain. Acta Automatica Sinica, 2013, 39(4):381-389 doi: 10.1016/S1874-1029(13)60037-3
[5] 刘朝华, 周少武, 刘侃, 章兢.基于双模态自适应小波粒子群的永磁同步电机多参数识别与温度监测方法.自动化学报, 2013, 39(12):2121-2130 http://www.aas.net.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=18241

Liu Zhao-Hua, Zhou Shao-Wu, Liu Kan, Zhang Jing. Permanent magnet synchronous motor multiple parameter identification and temperature monitoring based on binary-modal adaptive wavelet particle swarm optimization. Acta Automatica Sinica, 2013, 39(12):2121-2130 http://www.aas.net.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=18241
[6] Eberhart R C, Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization. In:Proceedings of the 2000 Congress on Evolutionary Computation. La Jolla, CA:IEEE, 2000. 84-88
[7] Trelea I C. The particle swarm optimization algorithm:convergence analysis and parameter selection. Information Processing Letters, 2003, 85(6):317-325 doi: 10.1016/S0020-0190(02)00447-7
[8] Samal N R, Konar A, Das S, Abraham A. A closed loop stability analysis and parameter selection of the particle swarm optimization dynamics for faster convergence. In:Proceedings of the 2007 IEEE Congress on Evolutionary Computation. Singapore:IEEE, 2007. 1769-1776 http://www.academia.edu/2724938/A_closed_loop_stability_analysis_and_parameter_selection_of_the_particle_swarm_optimization_dynamics_for_faster_convergence
[9] Carlisle A, Dozier G. An off-the-shelf PSO. In:Proceedings of the 2001 Workshop on Particle Swarm Optimization. Indianapolis, USA, 2001. 1-6
[10] 胡建秀, 曾建潮.微粒群算法中惯性权重的调整策略.计算机工程, 2007, 33(11):193-195 http://www.cnki.com.cn/Article/CJFDTOTAL-JSJC200711069.htm

Hu Jian-Xiu, Zeng Jian-Chao. Selection on inertia weight of particle swarm optimization. Computer Engineering, 2007, 33(11):193-195 http://www.cnki.com.cn/Article/CJFDTOTAL-JSJC200711069.htm
[11] 延丽平, 曾建潮.具有自适应随机惯性权重的PSO算法.计算机工程与设计, 2006, 27(24):4677-4679, 4706 http://www.cnki.com.cn/Article/CJFDTOTAL-SJSJ200624020.htm

Yan Li-Ping, Zeng Jian-Chao. Particle swarm optimization with self-adaptive stochastic inertia weight. Computer Engineering and Design, 2006, 27(24):4677-4679, 4706 http://www.cnki.com.cn/Article/CJFDTOTAL-SJSJ200624020.htm
[12] Chalermchaiarbha S, Ongsakul W. Stochastic weight trade-off particle swarm optimization for nonconvex economic dispatch. Energy Conversion and Management, 2013, 70:66-75 doi: 10.1016/j.enconman.2013.02.009
[13] 敖永才, 师奕兵, 张伟, 李焱骏.自适应惯性权重的改进粒子群算法.电子科技大学学报, 2014, 43(6):874-880 http://www.cnki.com.cn/Article/CJFDTOTAL-DKDX201406014.htm

Ao Yong-Cai, Shi Yi-Bing, Zhang Wei, Li Yan-Jun. Improved particle swarm optimization with adaptive inertia weight. Journal of University of Electronic Science and Technology of China, 2014, 43(6):874-880 http://www.cnki.com.cn/Article/CJFDTOTAL-DKDX201406014.htm
[14] Zhan Z H, Zhang J, Li Y, Chung H S H. Adaptive particle swarm optimization. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2009, 39(6):1362-1381 doi: 10.1109/TSMCB.2009.2015956
[15] Alfi A. PSO with adaptive mutation and inertia weight and its application in parameter estimation of dynamic systems. Acta Automatica Sinica, 2011, 37(5):541-549 doi: 10.1016/S1874-1029(11)60205-X
[16] Suganthan P N. Particle swarm optimiser with neighbourhood operator. In:Proceedings of the 1999 Congress on Evolutionary Computation. Washington DC, USA:IEEE, 1999. 1958-1962
[17] Ratnaweera A, Halgamuge S K, Watson H C. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Transactions on Evolutionary Computation, 2004, 8(3):240-255 doi: 10.1109/TEVC.2004.826071
[18] Yamaguchi T, Yasuda K. Adaptive particle swarm optimization:self-coordinating mechanism with updating information. In:Proceedings of the 2006 IEEE International Conference on Systems, Man, and Cybernetics. Taipei, China:IEEE, 2006. 2303-2308
[19] Liang J J, Qu B Y, Suganthan P N, Chen Q. Problem Definitions and Evaluation Criteria for the CEC 2015 Competition on Learning-based Real-parameter Single Objective Optimization. Technical Report 201411A, Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China, and Technical Report, Nanyang Technological University, Singapore, 2014. http://web.mysites.ntu.edu.sg/epnsugan/PublicSite/Shared%20Documents/CEC-2015/Learning-Based%20Single%20Objective%20Optimization/CEC%202015%20Learning_based.pdf
[20] 崔志华, 曾建潮.微粒群优化算法.北京:科学出版社, 2011.

Cui Zhi-Hua, Zeng Jian-Chao. Particle Swarm Optimization. Beijing:Science Press, 2011.
[21] 王凌, 刘波.微粒群优化与调度算法.北京:清华大学出版社, 2008.

Wang Ling, Liu Bo. Particle Swarm Optimization and Scheduling Algorithms. Beijing:Tsinghua University Press, 2008.
[22] 郭文忠, 陈国龙.离散粒子群优化算法及其应用.北京:清华大学出版社, 2012.

Guo Wen-Zhong, Chen Guo-Long. Discrete Particle Swarm Optimization Algorithm and Its Application. Beijing:Tsinghua University Press, 2012.