Applying an evolutionary algorithm to compare fix and flex grid technologies in new generation optical networks

S. Kozdrowski, Pawel Krysztofik
{"title":"Applying an evolutionary algorithm to compare fix and flex grid technologies in new generation optical networks","authors":"S. Kozdrowski, Pawel Krysztofik","doi":"10.1145/3583133.3590756","DOIUrl":null,"url":null,"abstract":"This paper proposes applying 2 algorithms to minimize network resources using fix-grid and flex-grid technology in next-generation optical networks. An algorithm based on the (μ + λ) evolutionary algorithm was proposed and compared with an exact method based on Mixed-Integer Linear Programming. The value of the objective function and the computation time was used as the primary metrics for performance evaluation. The performance of the proposed algorithms was investigated for a 10-node network with different node degrees from two to five. The presented results confirm the advantages of the proposed evolutionary approach, especially in terms of computational time, compared to the reference method.","PeriodicalId":422029,"journal":{"name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3583133.3590756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes applying 2 algorithms to minimize network resources using fix-grid and flex-grid technology in next-generation optical networks. An algorithm based on the (μ + λ) evolutionary algorithm was proposed and compared with an exact method based on Mixed-Integer Linear Programming. The value of the objective function and the computation time was used as the primary metrics for performance evaluation. The performance of the proposed algorithms was investigated for a 10-node network with different node degrees from two to five. The presented results confirm the advantages of the proposed evolutionary approach, especially in terms of computational time, compared to the reference method.
应用进化算法比较新一代光网络中固定网格和柔性网格技术
本文提出在下一代光网络中采用固定网格和柔性网格两种算法来实现网络资源最小化。提出了一种基于(μ + λ)进化算法的优化算法,并与基于混合整数线性规划的精确算法进行了比较。目标函数的取值和计算时间作为性能评价的主要指标。在一个节点度为2到5的10节点网络中,研究了所提算法的性能。实验结果证实了该方法的优越性,特别是在计算时间方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信