Optimal planning of optical transmission network using improved genetic algorithm

To ensure that power communication network to meet the reliable, economic requirements, a network planning method was proposed. Developing a reliability function based on ring rate and voltage class of communication station, then a multi-target programming model was established. An approach based on...

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Main Authors: Yue SHI, song QIUXue, yong GUOShao, Feng QI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016013/
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author Yue SHI
song QIUXue
yong GUOShao
Feng QI
author_facet Yue SHI
song QIUXue
yong GUOShao
Feng QI
author_sort Yue SHI
collection DOAJ
description To ensure that power communication network to meet the reliable, economic requirements, a network planning method was proposed. Developing a reliability function based on ring rate and voltage class of communication station, then a multi-target programming model was established. An approach based on improved genetic algorithm was devel-oped to solve the problem. Finally, simulation results show that the proposed method can provide efficient network plan-ning solution with high performance.
format Article
id doaj-art-f673a1227f9c480e87ab9c632747376a
institution Kabale University
issn 1000-436X
language zho
publishDate 2016-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-f673a1227f9c480e87ab9c632747376a2025-01-14T06:54:38ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-01-013711612259698637Optimal planning of optical transmission network using improved genetic algorithmYue SHIsong QIUXueyong GUOShaoFeng QITo ensure that power communication network to meet the reliable, economic requirements, a network planning method was proposed. Developing a reliability function based on ring rate and voltage class of communication station, then a multi-target programming model was established. An approach based on improved genetic algorithm was devel-oped to solve the problem. Finally, simulation results show that the proposed method can provide efficient network plan-ning solution with high performance.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016013/smart gridoptical transmission networknetwork planninggenetic algorithmreliability
spellingShingle Yue SHI
song QIUXue
yong GUOShao
Feng QI
Optimal planning of optical transmission network using improved genetic algorithm
Tongxin xuebao
smart grid
optical transmission network
network planning
genetic algorithm
reliability
title Optimal planning of optical transmission network using improved genetic algorithm
title_full Optimal planning of optical transmission network using improved genetic algorithm
title_fullStr Optimal planning of optical transmission network using improved genetic algorithm
title_full_unstemmed Optimal planning of optical transmission network using improved genetic algorithm
title_short Optimal planning of optical transmission network using improved genetic algorithm
title_sort optimal planning of optical transmission network using improved genetic algorithm
topic smart grid
optical transmission network
network planning
genetic algorithm
reliability
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016013/
work_keys_str_mv AT yueshi optimalplanningofopticaltransmissionnetworkusingimprovedgeneticalgorithm
AT songqiuxue optimalplanningofopticaltransmissionnetworkusingimprovedgeneticalgorithm
AT yongguoshao optimalplanningofopticaltransmissionnetworkusingimprovedgeneticalgorithm
AT fengqi optimalplanningofopticaltransmissionnetworkusingimprovedgeneticalgorithm