Genetic algorithm for the topological design of survivable optical transport networks
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/5992 |
Resumo: | We develop a genetic algorithm for the topological design of survivable optical transport networks with minimum capital expenditure. Using the developed genetic algorithm we can obtain near-optimal topologies in a short time. The quality of the obtained solutions is assessed using an integer linear programming model. Two initial population generators, two selection methods, two crossover operators, and two population sizes are analyzed. Computational results obtained using real telecommunications networks show that by using an initial population that resembles real optical transport networks a good convergence is achieved. |
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Genetic algorithm for the topological design of survivable optical transport networksGenetic algorithmSurvivable network designOptical networksDedicated protectionCAPEXWe develop a genetic algorithm for the topological design of survivable optical transport networks with minimum capital expenditure. Using the developed genetic algorithm we can obtain near-optimal topologies in a short time. The quality of the obtained solutions is assessed using an integer linear programming model. Two initial population generators, two selection methods, two crossover operators, and two population sizes are analyzed. Computational results obtained using real telecommunications networks show that by using an initial population that resembles real optical transport networks a good convergence is achieved.Optical Society of America2012-02-07T16:26:44Z2011-01-01T00:00:00Z2011info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/5992eng1943-062010.1364/JOCN.3.000017Morais, Rui ManuelPavan, ClaunirPinto, Armando NolascoRequejo, Cristinainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:09:29Zoai:ria.ua.pt:10773/5992Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:43:57.697845Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Genetic algorithm for the topological design of survivable optical transport networks |
title |
Genetic algorithm for the topological design of survivable optical transport networks |
spellingShingle |
Genetic algorithm for the topological design of survivable optical transport networks Morais, Rui Manuel Genetic algorithm Survivable network design Optical networks Dedicated protection CAPEX |
title_short |
Genetic algorithm for the topological design of survivable optical transport networks |
title_full |
Genetic algorithm for the topological design of survivable optical transport networks |
title_fullStr |
Genetic algorithm for the topological design of survivable optical transport networks |
title_full_unstemmed |
Genetic algorithm for the topological design of survivable optical transport networks |
title_sort |
Genetic algorithm for the topological design of survivable optical transport networks |
author |
Morais, Rui Manuel |
author_facet |
Morais, Rui Manuel Pavan, Claunir Pinto, Armando Nolasco Requejo, Cristina |
author_role |
author |
author2 |
Pavan, Claunir Pinto, Armando Nolasco Requejo, Cristina |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Morais, Rui Manuel Pavan, Claunir Pinto, Armando Nolasco Requejo, Cristina |
dc.subject.por.fl_str_mv |
Genetic algorithm Survivable network design Optical networks Dedicated protection CAPEX |
topic |
Genetic algorithm Survivable network design Optical networks Dedicated protection CAPEX |
description |
We develop a genetic algorithm for the topological design of survivable optical transport networks with minimum capital expenditure. Using the developed genetic algorithm we can obtain near-optimal topologies in a short time. The quality of the obtained solutions is assessed using an integer linear programming model. Two initial population generators, two selection methods, two crossover operators, and two population sizes are analyzed. Computational results obtained using real telecommunications networks show that by using an initial population that resembles real optical transport networks a good convergence is achieved. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01T00:00:00Z 2011 2012-02-07T16:26:44Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/5992 |
url |
http://hdl.handle.net/10773/5992 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1943-0620 10.1364/JOCN.3.000017 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Optical Society of America |
publisher.none.fl_str_mv |
Optical Society of America |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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_version_ |
1799137489807474688 |