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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 401983, 5 pages
Research Article

Topology Identification of Complex Network via Chaotic Ant Swarm Algorithm

1Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
2Potsdam Institute for Climate Impact Research, D14473 Potsdam, Germany
3College of Mathematics, Shandong Institute of Business and Technology, Yantai, Shandong 264005, China
4National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received 18 July 2013; Accepted 22 August 2013

Academic Editor: Ming Li

Copyright © 2013 Haipeng Peng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Nowadays, the topology of complex networks is essential in various fields as engineering, biology, physics, and other scientific fields. We know in some general cases that there may be some unknown structure parameters in a complex network. In order to identify those unknown structure parameters, a topology identification method is proposed based on a chaotic ant swarm algorithm in this paper. The problem of topology identification is converted into that of parameter optimization which can be solved by a chaotic ant algorithm. The proposed method enables us to identify the topology of the synchronization network effectively. Numerical simulations are also provided to show the effectiveness and feasibility of the proposed method.