Application of evolutionary algorithm to optimization of DWDM networks

IF 2.3 4区 物理与天体物理 Q2 OPTICS
Kacper Wnuk, Arkadiusz Sikorski, S. Sujecki, S. Kozdrowski
{"title":"Application of evolutionary algorithm to optimization of DWDM networks","authors":"Kacper Wnuk, Arkadiusz Sikorski, S. Sujecki, S. Kozdrowski","doi":"10.1117/12.2536756","DOIUrl":null,"url":null,"abstract":"The subject of the study is an application of Integer Programming method and Evolutionary Algorithm to optical Dense Wavelength Division Multiplexing network optimization. The main objective of the optimization is to minimize capital expenditure, which includes the costs of optical node resources, such as transponders and filters used in New Generation of Reconfigurable Optical Add Drop Multiplexers. For this purpose a model based on Integer Programming is proposed. The efficiency of the Integer Programming based software is compared with that of Evolutionary Algorithm. The results obtained show that there is an advantage in using EA for optimizing a large optical network when compared with Integer Programming. A realistic network of large dimension and traffic demand set was used in the numerical experiments.","PeriodicalId":50449,"journal":{"name":"Fiber and Integrated Optics","volume":"35 1","pages":"112040D - 112040D-5"},"PeriodicalIF":2.3000,"publicationDate":"2019-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fiber and Integrated Optics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1117/12.2536756","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0

Abstract

The subject of the study is an application of Integer Programming method and Evolutionary Algorithm to optical Dense Wavelength Division Multiplexing network optimization. The main objective of the optimization is to minimize capital expenditure, which includes the costs of optical node resources, such as transponders and filters used in New Generation of Reconfigurable Optical Add Drop Multiplexers. For this purpose a model based on Integer Programming is proposed. The efficiency of the Integer Programming based software is compared with that of Evolutionary Algorithm. The results obtained show that there is an advantage in using EA for optimizing a large optical network when compared with Integer Programming. A realistic network of large dimension and traffic demand set was used in the numerical experiments.
进化算法在DWDM网络优化中的应用
本课题研究的是整数规划法和进化算法在光密集波分复用网络优化中的应用。优化的主要目标是最小化资本支出,其中包括光节点资源的成本,例如新一代可重构光加丢复用器中使用的转发器和滤波器。为此,提出了一种基于整数规划的模型。将基于整数规划的软件与进化算法的效率进行了比较。结果表明,与整数规划方法相比,用EA方法对大型光网络进行优化具有优势。数值实验采用了一个具有大维度和交通需求集的现实网络。
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
CiteScore
3.40
自引率
0.00%
发文量
4
审稿时长
>12 weeks
期刊介绍: Fiber and Integrated Optics , now incorporating the International Journal of Optoelectronics, is an international bimonthly journal that disseminates significant developments and in-depth surveys in the fields of fiber and integrated optics. The journal is unique in bridging the major disciplines relevant to optical fibers and electro-optical devices. This results in a balanced presentation of basic research, systems applications, and economics. For more than a decade, Fiber and Integrated Optics has been a valuable forum for scientists, engineers, manufacturers, and the business community to exchange and discuss techno-economic advances in the field.
×
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