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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZsFDuKxG/Epich
Repositorysid.inpe.br/marciana/2004/12.08.11.03   (restricted access)
Last Update2004:12.10.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/marciana/2004/12.08.11.03.38
Metadata Last Update2021:02.11.18.10.20 (UTC) administrator
Secondary KeyINPE-11076-PRE/6532
ISSN0307-904X
Citation KeySousaVlasRamo:2004:ApHePi
TitleGeneralized extremal optimization: An application in heat pipe design
Year2004
Monthoct.
Access Date2024, Apr. 28
Secondary TypePRE PI
Number of Files1
Size379 KiB
2. Context
Author1 Sousa, Fabiano Lius de
2 Vlassov, Valeri Vladimirovich
3 Ramos, Fernando Manuel
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JH4A
Group1 DMC-INPE-MCT-BR
2 DMC-INPE-MCT-BR
3 LAC-INPE-MCT-BR
JournalApplied Mathematical Modelling
Volume28
Number10
Pages911-931
History (UTC)2004-12-10 16:38:51 :: sergio -> administrator ::
2006-09-28 22:28:20 :: administrator -> sergio ::
2008-01-07 12:53:39 :: sergio -> administrator ::
2008-06-10 22:28:16 :: administrator -> marciana ::
2011-05-20 04:18:36 :: marciana -> administrator ::
2021-02-11 18:10:20 :: administrator -> marciana :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsoptimization
optimal design
self-organized criticality
heat pipe GENETIC ALGORITHM
STRATEGIES
DYNAMICS
AIRFOIL
AbstractIn this paper a recently proposed new stochastic method developed to tackle optimization problems with complex design spaces is presented. Called generalized extremal optimization (GEO), it is of easy implementation, does not make use of derivatives and can be applied to unconstrained or constrained problems, non-convex or disjoint design spaces, with any combination of continuous, discrete or integer variables. It is a global search meta-heuristic, as the Genetic Algorithm and the simulated annealing, but with the a priori advantage of having only one free parameter to adjust. In this article the efficacy of the GEO algorithm on dealing with complex design spaces is illustrated through the application of the method to the design of a heat pipe for satellite thermal control. (C) 2004 Elsevier Inc. All rights reserved.
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Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Generalized extremal optimization:...
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4. Conditions of access and use
Languageen
Target Filesdarticle.pdf
User Groupadministrator
marciana
sergio
Visibilityshown
Copy HolderSID/SCD
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/446AF4B
DisseminationWEBSCI; PORTALCAPES.
Host Collectionsid.inpe.br/banon/2003/08.15.17.40
6. Notes
Empty Fieldsaffiliation alternatejournal archivist callnumber copyright creatorhistory descriptionlevel documentstage doi 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 tertiarymark tertiarytype typeofwork url versiontype
7. Description control
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