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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZGivnK2Y/Nk5ym
Repositorysid.inpe.br/mtc-m17@80/2006/12.01.18.12   (restricted access)
Last Update2008:06.05.18.55.58 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m17@80/2006/12.01.18.12.42
Metadata Last Update2018:06.05.03.30.21 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1016/j.cor.2006.09.024
ISSN0305-0548
Citation KeyRibeiroLore:2008:LaReCl
TitleLagrangean relaxation with clusters for point-feature cartographic label placement problems
Year2008
MonthJuly
Access Date2024, Apr. 28
Secondary TypePRE PI
Number of Files1
Size508 KiB
2. Context
Author1 Ribeiro, Glaydston Mattos
2 Lorena, Luiz Antonio Nogueira
Resume Identifier1
2 8JMKD3MGP5W/3C9JHMQ
Group1 LAC-CTE-INPE-MCT-BR
2 LAC-CTE-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
JournalComputers and Operations Research
Volume35
Number7
Pages2129-140
History (UTC)2006-12-01 18:13:24 :: simone -> administrator ::
2007-04-03 01:27:59 :: administrator -> simone ::
2008-06-05 18:56:13 :: simone -> administrator ::
2008-06-29 02:32:49 :: administrator -> simone ::
2008-12-15 12:52:44 :: simone -> administrator ::
2012-11-24 01:39:22 :: administrator -> simone :: 2008
2013-02-20 15:19:52 :: simone -> administrator :: 2008
2018-06-05 03:30:21 :: administrator -> marciana :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsLagrangean relaxation
Integer programming
Label placement
AbstractThis paper presents two new mathematical formulations for the point-feature cartographic label placement problem (PFCLP) and a new Lagrangean relaxation with clusters (LagClus) to provide bounds to these formulations. The PFCLP can be represented by a conflict graph and the relaxation divides the graph in small subproblems (clusters) that are easily solved. The edges connecting clusters are relaxed in a Lagrangean way and a subgradient algorithm improves the bounds. The LagClus was successfully applied to a set of instances up to 1000 points providing the best results of those reported in the literature.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Lagrangean relaxation with...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target Filelagrangean relaxation.pdf
User Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft36
Read Permissiondeny from all and allow from 150.163
5. Allied materials
LinkingTrabalho Vinculado à Tese/Dissertação
Next Higher Units8JMKD3MGPCW/3ESGTTP
DisseminationWEBSCI; PORTALCAPES.
Host Collectionlcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel documentstage e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarytype typeofwork url versiontype
7. Description control
e-Mail (login)marciana
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