Self-organized clustering -fission swarm system based on the coupling degree of weighted information

Xuchen Wang, Yuxuan Huang, Dengxiu Yu, Mingyong Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2019 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages91-96
Number of pages6
ISBN (Electronic)9781728159287
DOIs
StatePublished - Dec 2019
Event2019 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2019 - Guangzhou, China
Duration: 20 Dec 201923 Dec 2019

Publication series

Name2019 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2019

Conference

Conference2019 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2019
Country/TerritoryChina
CityGuangzhou
Period20/12/1923/12/19

Keywords

  • Clustering-fission
  • Swarm system
  • Weighted information coupling degree

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