基于加权信息耦合度的自组织聚类-裂变群系统

Xuchen Wang, Yuxuan Huang, Dengxiu Yu, Mingyong Liu
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引用次数: 0

摘要

提出了基于加权信息耦合度的自组织聚类-裂变群系统。在以往的工作中,研究人员基于信息耦合度来研究聚类或裂变。然而,聚簇-裂变的性能受设计的地层耦合度的影响。在信息耦合度中加入权值可以提高聚簇裂变的性能。权值越大,发生聚簇裂变的概率越高。本文的一个主要贡献是通过权重调整。最后,通过仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-organized Clustering -Fission Swarm System Based on the Coupling Degree of Weighted Information
The paper proposes the self-organized clustering-fission swarm system based on the coupling degree of weighted information. In previous work, researchers study the clustering or fission based on information coupling degree. However, the performance of clustering-fission is effected by the designing formation coupling degree. Adding the weight into information coupling degree can improve the performance of clustering-fission. The bigger the weight is, the higher the probability of clustering-fission occurrence will become. One main contribution of this paper is adjusted by weight. Finally, the proposed method is verified by simulation.
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