1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m16d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP7W/3973NUE |
Repository | sid.inpe.br/mtc-m19/2011/02.15.17.17 (restricted access) |
Last Update | 2011:02.22.19.32.17 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m19/2011/02.15.17.17.02 |
Metadata Last Update | 2018:06.05.04.35.30 (UTC) administrator |
Secondary Key | INPE--PRE/ |
DOI | 10.1016/j.eswa.2010.09.149 |
ISSN | 0957-4174 |
Citation Key | ChavesLore:2010:HyEvAl |
Title | Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem |
Year | 2010 |
Access Date | 2024, May 11 |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 489 KiB |
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2. Context | |
Author | 1 Chaves, Antonio Augusto 2 Lorena, Luiz Antonio Nogueira |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHMQ |
Group | 1 2 LAC-CTE-INPE-MCT-BR |
Affiliation | 1 Sao Paulo State University Julio de Mesquita Filho, Department of Mathematics 2 Instituto Nacional de Pesquisas Espaciais (INPE) |
Journal | Expert Systems with Applications |
Volume | 38 |
Pages | 5013–5018 |
History (UTC) | 2011-02-23 12:26:52 :: marciana -> administrator :: 2010 2018-06-05 04:35:30 :: administrator -> marciana :: 2010 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Clustering problems Clustering search algorithm Genetic Algorithm Metaheuristics |
Abstract | The 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. |
Area | COMP |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Hybrid evolutionary algorithm... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | Antonio Augusto Chaves.pdf |
User Group | administrator marciana |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft24 |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53 |
Next Higher Units | 8JMKD3MGPCW/3ESGTTP |
Dissemination | WEBSCI; PORTALCAPES; COMPENDEX. |
Host Collection | sid.inpe.br/mtc-m19@80/2009/08.21.17.02 |
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6. Notes | |
Empty Fields | alternatejournal 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 |
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7. Description control | |
e-Mail (login) | marciana |
update | |
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