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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2016-01-01
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Series: | Tongxin xuebao |
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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 |