Topological design of communication networks using multiobjective genetic optimization

R. Kumar, P. P. Parida, Mohit Gupta
{"title":"Topological design of communication networks using multiobjective genetic optimization","authors":"R. Kumar, P. P. Parida, Mohit Gupta","doi":"10.1109/CEC.2002.1006272","DOIUrl":null,"url":null,"abstract":"Designing communication networks is a complex, multi-constraint and multi-criterion optimization problem. We present a multi-objective genetic optimization approach to setting up a network while simultaneously minimizing network delays and installation costs subject to reliability and flow constraints. In this paper, we use a Pareto-converging genetic algorithm, present results for two test networks and compare results with another heuristic method.","PeriodicalId":184547,"journal":{"name":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2002.1006272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 46

Abstract

Designing communication networks is a complex, multi-constraint and multi-criterion optimization problem. We present a multi-objective genetic optimization approach to setting up a network while simultaneously minimizing network delays and installation costs subject to reliability and flow constraints. In this paper, we use a Pareto-converging genetic algorithm, present results for two test networks and compare results with another heuristic method.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于多目标遗传优化的通信网络拓扑设计
通信网络设计是一个复杂的、多约束、多准则的优化问题。我们提出了一种多目标遗传优化方法来建立网络,同时最小化受可靠性和流量约束的网络延迟和安装成本。本文使用pareto收敛遗传算法,给出了两个测试网络的结果,并与另一种启发式方法的结果进行了比较。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Development of FPGA based adaptive image enhancement filter system using genetic algorithms Intelligent predictive control of a power plant with evolutionary programming optimizer and neuro-fuzzy identifier Blocked stochastic sampling versus Estimation of Distribution Algorithms Distinguishing adaptive from non-adaptive evolution using Ashby's law of requisite variety An artificial immune network for multimodal function optimization
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1