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Peng et al 2013, Topology Identification of Complex Network.pdf2,2 MBAdobe PDFView/Open
Title: Topology identification of complex network via chaotic ant swarm algorithm
Authors: Peng, H.Li, L.Kurths, J.Li, S.Yang, Y.
Publishers Version: https://doi.org/10.1155/2013/401983
Issue Date: 2013
Published in: Mathematical Problems in Engineering Vol. 2013 (2013)
Publisher: New York, NY : Hindawi Publishing Corporation
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.
Keywords: Ant algorithms; Chaotic ant swarm; Parameter optimization; Scientific fields; Structure parameter; Synchronization network; Topology identification; Algorithms; Topology; Electric network topology
DDC: 510
License: CC BY 3.0 Unported
Link to License: https://creativecommons.org/licenses/by/3.0/
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