{"title":"Applying genetic algorithm and simulated annealing to a combinatorial optimization problem","authors":"M. Chakraborty, Uday K. Chakraborty","doi":"10.1109/ICICS.1997.652115","DOIUrl":null,"url":null,"abstract":"This paper applies the genetic algorithm and simulated annealing to the problem of optimal link enhancement, which is an NP-complete combinatorial optimization problem in the topological expansion of computer communication networks. Experimental results show that simulated annealing outperforms the genetic algorithm on this problem.","PeriodicalId":71361,"journal":{"name":"信息通信技术","volume":"6 1","pages":"929-933 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"信息通信技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICICS.1997.652115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This paper applies the genetic algorithm and simulated annealing to the problem of optimal link enhancement, which is an NP-complete combinatorial optimization problem in the topological expansion of computer communication networks. Experimental results show that simulated annealing outperforms the genetic algorithm on this problem.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
