{"title":"An Improved Genetic Algorithm for QOS Multicast Routing","authors":"Fang Yiming, Yu Jianjun, Fang Zhimin","doi":"10.1109/IWSDA.2007.4408342","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of multicast routing with multiple QoS constraint, such as delay, bandwidth, losing rate, a new genetic algorithm is brought up based on the k-th shortest path in this paper. Our algorithm outputs an approximate Steiner tree satisfying all QoS constraint of multicast request in a network with e edges and v vertices, in time O(e+vlogv+kv). Under the genetic algorithm we proposed, a set of new methods in coding, crossover and mutation operation are also introduced which effectively improving the convergence of the genetic algorithm.","PeriodicalId":303512,"journal":{"name":"2007 3rd International Workshop on Signal Design and Its Applications in Communications","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 3rd International Workshop on Signal Design and Its Applications in Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWSDA.2007.4408342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Aiming at the problem of multicast routing with multiple QoS constraint, such as delay, bandwidth, losing rate, a new genetic algorithm is brought up based on the k-th shortest path in this paper. Our algorithm outputs an approximate Steiner tree satisfying all QoS constraint of multicast request in a network with e edges and v vertices, in time O(e+vlogv+kv). Under the genetic algorithm we proposed, a set of new methods in coding, crossover and mutation operation are also introduced which effectively improving the convergence of the genetic algorithm.