{"title":"小世界和大思想:邻域拓扑对粒子群性能的影响","authors":"J. Kennedy","doi":"10.1109/CEC.1999.785509","DOIUrl":null,"url":null,"abstract":"The study manipulated the neighborhood topologies of particle swarms optimizing four test functions. Several social network structures were tested, with \"small-world\" randomization of a specified number of links. Sociometric structure and the small-world manipulation interacted with function to produce a significant effect on performance.","PeriodicalId":292523,"journal":{"name":"Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1145","resultStr":"{\"title\":\"Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance\",\"authors\":\"J. Kennedy\",\"doi\":\"10.1109/CEC.1999.785509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study manipulated the neighborhood topologies of particle swarms optimizing four test functions. Several social network structures were tested, with \\\"small-world\\\" randomization of a specified number of links. Sociometric structure and the small-world manipulation interacted with function to produce a significant effect on performance.\",\"PeriodicalId\":292523,\"journal\":{\"name\":\"Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1145\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.1999.785509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.1999.785509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance
The study manipulated the neighborhood topologies of particle swarms optimizing four test functions. Several social network structures were tested, with "small-world" randomization of a specified number of links. Sociometric structure and the small-world manipulation interacted with function to produce a significant effect on performance.