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Topology Identification of Complex Network via Chaotic Ant Swarm Algorithm

机译:基于混沌蚁群算法的复杂网络拓扑识别

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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 besome unknown structure parameters in a complex network. In order to identify thoseunknown structure parameters, a topology identification method is proposed based ona chaotic ant swarm algorithm in this paper. The problem of topology identification isconverted 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 synchronizationnetwork effectively. Numerical simulations are also provided to show the effectivenessand feasibility of the proposed method.
机译:如今,复杂网络的拓扑结构在工程,生物学,物理学和其他科学领域的各个领域都至关重要。我们知道在某些一般情况下,复杂网络中可能存在一些未知的结构参数。为了识别那些未知的结构参数,本文提出了一种基于混沌蚁群算法的拓扑识别方法。拓扑识别问题转化为参数优化问题,可以通过混沌蚂蚁算法解决。所提出的方法使我们能够有效地识别同步网络的拓扑。数值仿真结果表明了该方法的有效性和可行性。

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