1Sera,D. ;Teodorescu,R. ; Hantschel, J. Knoll,M. ;Optimized Maximum Power Point Tracker for Fast-Changing Environmental Conditions[J]. IEEE Transactions on Indus- trial Electronics, 2008,55(7) :2629 - 2637.
2Van Den B F, Engelbrecht A R A Cooperative Approach to Particle Swarm Optimization[J]. IEEE Transactions on Evolutionary Computation, 2004, 8(3): 225-239.
3Liang Jing, Qin Kai, Suganthan P N, et al. Comprehensive Learning Particle Swarm Optimizer for Global Optimiz/ttion of Multimodal Functions[J]. IEEE Transactions on Evolutionary Computation, 2006, 10(3): 281-295.
4Kennedy J, Eberhart R. Particle Swarm Optimization[C]//Proc. of ICNN'95. Perth, Australia: [s. n.], 1995.
5Shi Y, Eberhart R. A Modified Particle Swarm Optimizer[C]// Proceedings of the IEEE Conference on Evolutionary Computation. Singapore: [s. n.], 1998.
6Shi Y, Eberhart R. Fuzzy Adaptive Particle Swarm Optimization[C]//Proc, of Congress on Evolutionary Computation. Seoul, Korea: [s. n.], 2001.
7Qin Zheng, Yu Fan, Shi Zhewen, et al. Adaptive Inertia Weight Particle Swarm Optimization[C]//Proc. of ICAISC'06. Kunming, China: [s. n.], 2006.
8Chatterjee A, Siarry P. Nonlinear Inertia Weight Variation for Dynamic Adaptation in Particle Swarm Optimization[J]. Computers & Operations Research, 2006, 33(3): 859-871.
9Riget J, Vesterstr J S. A Diversity-guided Particle Swarm Optimizer the ARPSO[EB/OL]. [2008-12-23]. http://www.evalife.dk.
10Kennedy J,Eberhart R C.Swarm Intelligence[M].San Francisco,CA:Morgan Kaufmann Publishers Inc.,2001.
