Topology Identification of Complex Network via Chaotic Ant Swarm Algorithm

Haipeng Peng, Lixiang Li, Jürgen Kurths, Shudong Li and Yixian Yang

Mathematical Problems in Engineering, 2013, vol. 2013, 1-5

Abstract:

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:401983

DOI: 10.1155/2013/401983

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