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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3973NUE
Repositorysid.inpe.br/mtc-m19/2011/02.15.17.17   (restricted access)
Last Update2011:02.22.19.32.17 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m19/2011/02.15.17.17.02
Metadata Last Update2018:06.05.04.35.30 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1016/j.eswa.2010.09.149
ISSN0957-4174
Citation KeyChavesLore:2010:HyEvAl
TitleHybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
Year2010
Access Date2024, Apr. 28
Secondary TypePRE PI
Number of Files1
Size489 KiB
2. Context
Author1 Chaves, Antonio Augusto
2 Lorena, Luiz Antonio Nogueira
Resume Identifier1
2 8JMKD3MGP5W/3C9JHMQ
Group1
2 LAC-CTE-INPE-MCT-BR
Affiliation1 Sao Paulo State University Julio de Mesquita Filho, Department of Mathematics
2 Instituto Nacional de Pesquisas Espaciais (INPE)
JournalExpert Systems with Applications
Volume38
Pages5013–5018
History (UTC)2011-02-23 12:26:52 :: marciana -> administrator :: 2010
2018-06-05 04:35:30 :: administrator -> marciana :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsClustering problems
Clustering search algorithm
Genetic Algorithm
Metaheuristics
AbstractThe Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand capacity. The problem is well known to be NP-hard and has many practical applications. In this paper, the hybrid method Clustering Search (CS) is implemented to solve the CCCP. This method identifies promising regions of the search space by generating solutions with a metaheuristic, such as Genetic Algorithm, and clustering them into clusters that are then explored further with local search heuristics. Computational results considering instances available in the literature are presented to demonstrate the efficacy of CS.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Hybrid evolutionary algorithm...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target FileAntonio Augusto Chaves.pdf
User Groupadministrator
marciana
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3ESGTTP
DisseminationWEBSCI; PORTALCAPES; COMPENDEX.
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Description control
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