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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemarte3.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZ3r59YCT/H3KQg
Repositóriosid.inpe.br/iris@1905/2005/08.04.02.50   (acesso restrito)
Última Atualização2013:04.12.12.27.01 (UTC) jefferson
Repositório de Metadadossid.inpe.br/iris@1905/2005/08.04.02.50.31
Última Atualização dos Metadados2018:06.06.03.55.42 (UTC) administrator
Chave SecundáriaINPE-9832-PRE/5416
ISSN0377-2217
Rótulo10510
Chave de CitaçãoLorenaNarc:2002:ApSyTr
TítuloUsing logical surrogate information in Lagrangean relaxation: An application to symmetric traveling salesman problems
ProjetoCNPq (proc. 300837/89-5); FAPESP (proc. 99/06954- 7).
Ano2002
Data Secundária2002609
MêsMay.
Data de Acesso02 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho266 KiB
2. Contextualização
Autor1 Lorena, Luiz Antonio Nogueira
2 Narciso, Marcelo Gonç
Grupo1 LAC-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 CNPTIA/EMBRAPA, Campinas, SP, Brazil
Endereço de e-Mail do Autor1 lorena@lac.inpe.br
RevistaEuropean Journal of Operational Research
Volume138
Número312
Páginas473-483
Histórico (UTC)2013-04-12 12:12:13 :: administrator -> jefferson :: 2002
2013-04-12 14:05:53 :: jefferson -> administrator :: 2002
2018-06-06 03:55:42 :: administrator -> marciana :: 2002
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveLagrangean/surrogate relaxation
traveling salesman problem
subgradient method
subgradient optimization
convergence
algorithms
constraints
duality
step
ResumoThe traveling salesman problem (TSP) is a classical combinatorial optimization problem, which has been intensively studied. The Lagrangean relaxation was first applied to the TSP in 1970. The Lagrangean relaxation limit approximates what is known today as Held and Karp (HK) bound, a very good bound (less than 1 percent from optimal) for a large class of symmetric instances. It became a reference bound for new heuristics, mainly for the very large scale instances. where the use of exact methods is prohibitive. A known problem for the Lagrangean relaxation application is the definition of a convenient step size control in subgradient like methods. Even preserving theoretical convergence properties, a wrong defined control can affect the performance and increase computational times. We show in this work how to accelerate a classical subgradient method while conserving good approximations to the HK bounds. The surrogate and Lagrangean relaxations are combined using the local information of the relaxed constraints. It results in a one-dimensional search that corrects the possibly wrong step size and is independent of the used step size control. Comparing with the ordinary subgradient method, and beginning with the same initial multiplier, the computational times are almost twice as fast for medium instances and greatly improved for some large scale TSPLIB instances.
ÁreaCOMP
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Using logical surrogate...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Arquivo Alvo1-s2.0-S037722170100159X-main.pdf
Grupo de Usuáriosadministrator
jefferson
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft36
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ESGTTP
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirosid.inpe.br/banon/2001/04.03.15.36
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi e-mailaddress format isbn language lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup resumeid rightsholder schedulinginformation secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
e-Mail (login)marciana
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