中国物理B ›› 2011, Vol. 20 ›› Issue (11): 110502-110502.doi: 10.1088/1674-1056/20/11/110502
何怡刚1, 唐圣学2, 陈丽2
Tang Sheng-Xue(唐圣学)a)†, Chen Li(陈丽) a), and He Yi-Gang(何怡刚)b)
摘要: In many cases, the topological structures of a complex network are unknown or uncertain, and it is of significance to identify the exact topological structure. An optimization-based method of identifying the topological structure of a complex network is proposed in this paper. Identification of the exact network topological structure is converted into a minimal optimization problem by using the estimated network. Then, an improved quantum-behaved particle swarm optimization algorithm is used to solve the optimization problem. Compared with the previous adaptive synchronization-based method, the proposed method is simple and effective and is particularly valid to identify the topological structure of synchronization complex networks. In some cases where the states of a complex network are only partially observable, the exact topological structure of a network can also be identified by using the proposed method. Finally, numerical simulations are provided to show the effectiveness of the proposed method.
中图分类号: (Nonlinear dynamics and chaos)