Topology identification of complex network via chaotic ant swarm algorithm
type: Item
instance of: scholarly article
title: Topology identification of complex network via chaotic ant swarm algorithm
zbMATH Open document ID: 1299.90418
DOI: 10.1155/2013/401983
author: Haipeng Peng
author: Lixiang Li
author: Shudong Li
author: J. Kurths
author: Yi-Xian Yang
published in: Mathematical Problems in Engineering
publication date: 2014-11-24T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 65L09
Mathematics Subject Classification ID: 94C99
zbMATH DE Number: 6372272
Wikidata QID: Q57631849
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/401983
OpenAlex ID: W2004781259
cites work: Structure identification of uncertain general complex dynamical networks with time delay
cites work: On \(1/f\) noise
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description: scientific article; zbMATH DE number 6372272