| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | mtc-m16.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 6qtX3pFwXQZsFDuKxG/F3c9M |
| Repository | sid.inpe.br/marciana/2005/02.01.09.41 |
| Last Update | 2005:02.01.02.00.00 (UTC) banon |
| Metadata Repository | sid.inpe.br/marciana/2005/02.01.09.41.58 |
| Metadata Last Update | 2018:06.05.01.21.31 (UTC) administrator |
| Secondary Key | INPE-12151-PRE/7492 |
| Citation Key | OliveiraLore:2004:DePrAr |
| Title | Detecting promising areas by evolutionary clustering search  |
| Format | On-line |
| Project | Algoritmos genéticos |
| Year | 2004 |
| Access Date | 2024, Dec. 27 |
| Secondary Type | PRE CN |
| Number of Files | 1 |
| Size | 294 KiB |
| 2. Context | |
| Author | 1 Oliveira, Alexandre C. M. 2 Lorena, Luiz Antonio Nogueira |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHMQ |
| Group | 1 LAC-INPE-MCT-BR |
| Affiliation | 1 Universidade Federal do Maranhão, Departamento de Informática (UFMA) 2 Instituto Nacional de Pesquisas Espaciais, Laboratório Associado de |
| Conference Name | Brazilian Symposium on Artificial Intelligence, 17 (SBIA). |
| Conference Location | São Luiz |
| Date | 29 Sept. - 01 Oct. |
| Publisher | INPE |
| Pages | 10 |
| Book Title | Proceedings |
| History (UTC) | 2005-06-09 17:05:07 :: jefferson -> administrator :: 2015-04-02 18:24:59 :: administrator -> banon :: 2004 2015-04-02 18:25:24 :: banon -> administrator :: 2004 2018-06-05 01:21:31 :: administrator -> banon :: 2004 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Keywords | COMPUTAÇÃO APLICADA Algoritmos genéticos Otimização Pesquisa de Agrupamento Evolucionário COMPUTER SCIENCE Genetic algorithms Optimization Evolutionary Clustering Search |
| Abstract | A challenge in hybrid evolutionary algorithms is to define efficient strategies to cover all search space, applying local search only in actually promising search areas. This paper proposes a way of detecting promising search areas based on clustering. In this approach, an iterative clustering works simultaneously to an evolutionary algorithm account- ing the activity (selections or updatings) in search areas and identifying which of them deserves a special interest. The search strategy becomes more aggressive in such detected areas by applying local search. A first application to unconstrained numerical optimization is developed, show- ing the competitiveness of the method. |
| Area | COMP |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Detecting promising areas... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/6qtX3pFwXQZsFDuKxG/F3c9M |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZsFDuKxG/F3c9M |
| Language | en |
| Target File | ecs.pdf |
| User Group | administrator banon jefferson |
| Reader Group | administrator banon |
| Visibility | shown |
| Copy Holder | SID/SCD |
| Read Permission | allow from all |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3ESGTTP |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.54.04 4 |
| Host Collection | sid.inpe.br/banon/2003/08.15.17.40 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist callnumber contenttype copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume |
| 7. Description control | |
| e-Mail (login) | banon |
| update | |