Genetic algorithm for the topological design of survivable optical transport networks

Detalhes bibliográficos
Autor(a) principal: Morais, Rui Manuel
Data de Publicação: 2011
Outros Autores: Pavan, Claunir, Pinto, Armando Nolasco, Requejo, Cristina
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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spelling 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
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instacron_str RCAAP
institution RCAAP
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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
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