A Neural Network for Shortest Path Computation
Autor(a) principal: | |
---|---|
Data de Publicação: | 2000 |
Outros Autores: | , |
Tipo de documento: | Relatório |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/14147 |
Resumo: | This paper presents a new neural network to solve the shortest path problem for internetwork routing. The proposed solution extends the traditional single-layer recurrent Hopfield architecture introducing a two-layer architecture that automatically guarantees an entire set of constraints held by any valid solution to the shortest path problem. This new method addresses some of the limitations of previous solutions, in particular the lack of reliability in what concerns succeeded and valid convergence. Experimental results show that a clear improvement in well-succeeded convergence can be achieved. Additionally, computation performance is also improved at the expense of slightly worse results |
id |
RCAP_845d1f462ef661a3251acde36b33b930 |
---|---|
oai_identifier_str |
oai:repositorio.ul.pt:10451/14147 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
A Neural Network for Shortest Path ComputationNeural NetworksCombinatorial Optimization ProblemsShortest Path ProblemHopfield Neural NetworksThis paper presents a new neural network to solve the shortest path problem for internetwork routing. The proposed solution extends the traditional single-layer recurrent Hopfield architecture introducing a two-layer architecture that automatically guarantees an entire set of constraints held by any valid solution to the shortest path problem. This new method addresses some of the limitations of previous solutions, in particular the lack of reliability in what concerns succeeded and valid convergence. Experimental results show that a clear improvement in well-succeeded convergence can be achieved. Additionally, computation performance is also improved at the expense of slightly worse resultsDepartment of Informatics, University of LisbonRepositório da Universidade de LisboaAraújo, FilipeRibeiro, BernardeteRodrigues, Luís2009-02-10T13:12:02Z2000-042000-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/reportapplication/pdfhttp://hdl.handle.net/10451/14147porinfo: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:RCAAP2023-11-08T15:59:47Zoai:repositorio.ul.pt:10451/14147Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:35:59.531826Repositório 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 |
A Neural Network for Shortest Path Computation |
title |
A Neural Network for Shortest Path Computation |
spellingShingle |
A Neural Network for Shortest Path Computation Araújo, Filipe Neural Networks Combinatorial Optimization Problems Shortest Path Problem Hopfield Neural Networks |
title_short |
A Neural Network for Shortest Path Computation |
title_full |
A Neural Network for Shortest Path Computation |
title_fullStr |
A Neural Network for Shortest Path Computation |
title_full_unstemmed |
A Neural Network for Shortest Path Computation |
title_sort |
A Neural Network for Shortest Path Computation |
author |
Araújo, Filipe |
author_facet |
Araújo, Filipe Ribeiro, Bernardete Rodrigues, Luís |
author_role |
author |
author2 |
Ribeiro, Bernardete Rodrigues, Luís |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Araújo, Filipe Ribeiro, Bernardete Rodrigues, Luís |
dc.subject.por.fl_str_mv |
Neural Networks Combinatorial Optimization Problems Shortest Path Problem Hopfield Neural Networks |
topic |
Neural Networks Combinatorial Optimization Problems Shortest Path Problem Hopfield Neural Networks |
description |
This paper presents a new neural network to solve the shortest path problem for internetwork routing. The proposed solution extends the traditional single-layer recurrent Hopfield architecture introducing a two-layer architecture that automatically guarantees an entire set of constraints held by any valid solution to the shortest path problem. This new method addresses some of the limitations of previous solutions, in particular the lack of reliability in what concerns succeeded and valid convergence. Experimental results show that a clear improvement in well-succeeded convergence can be achieved. Additionally, computation performance is also improved at the expense of slightly worse results |
publishDate |
2000 |
dc.date.none.fl_str_mv |
2000-04 2000-04-01T00:00:00Z 2009-02-10T13:12:02Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/report |
format |
report |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/14147 |
url |
http://hdl.handle.net/10451/14147 |
dc.language.iso.fl_str_mv |
por |
language |
por |
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 |
Department of Informatics, University of Lisbon |
publisher.none.fl_str_mv |
Department of Informatics, University of Lisbon |
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 |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
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 |
|
_version_ |
1799134258559713280 |