{"title":"基于蚁群系统的多约束QoS路由算法CGEA","authors":"Ben-Lai Liang, J. Yu","doi":"10.1109/ICISCE.2015.193","DOIUrl":null,"url":null,"abstract":"CGEA (Convergence Gradients Expectation Ant algorithm) is proposed in this paper, which can get the optimal path quickly by precomputing the Convergence grads expectation of improved ant algorithm. QoS metrics of link can be measured by expectation function and the optimal path can be got efficiently by comparing the convergence grads.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"One Multi-constraint QoS Routing Algorithm CGEA Based on Ant Colony System\",\"authors\":\"Ben-Lai Liang, J. Yu\",\"doi\":\"10.1109/ICISCE.2015.193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CGEA (Convergence Gradients Expectation Ant algorithm) is proposed in this paper, which can get the optimal path quickly by precomputing the Convergence grads expectation of improved ant algorithm. QoS metrics of link can be measured by expectation function and the optimal path can be got efficiently by comparing the convergence grads.\",\"PeriodicalId\":356250,\"journal\":{\"name\":\"2015 2nd International Conference on Information Science and Control Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 2nd International Conference on Information Science and Control Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCE.2015.193\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 2nd International Conference on Information Science and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCE.2015.193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
One Multi-constraint QoS Routing Algorithm CGEA Based on Ant Colony System
CGEA (Convergence Gradients Expectation Ant algorithm) is proposed in this paper, which can get the optimal path quickly by precomputing the Convergence grads expectation of improved ant algorithm. QoS metrics of link can be measured by expectation function and the optimal path can be got efficiently by comparing the convergence grads.