Xuchen Wang, Yuxuan Huang, Dengxiu Yu, Mingyong Liu
{"title":"基于加权信息耦合度的自组织聚类-裂变群系统","authors":"Xuchen Wang, Yuxuan Huang, Dengxiu Yu, Mingyong Liu","doi":"10.1109/SPAC49953.2019.243776","DOIUrl":null,"url":null,"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.","PeriodicalId":410003,"journal":{"name":"2019 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-organized Clustering -Fission Swarm System Based on the Coupling Degree of Weighted Information\",\"authors\":\"Xuchen Wang, Yuxuan Huang, Dengxiu Yu, Mingyong Liu\",\"doi\":\"10.1109/SPAC49953.2019.243776\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":410003,\"journal\":{\"name\":\"2019 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAC49953.2019.243776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAC49953.2019.243776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.