Close

1. Identity statement
Reference TypeJournal Article
Sitemtc-m16.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZGivnJVY/UuPNd
Repositorysid.inpe.br/mtc-m16@80/2008/06.18.14.57   (restricted access)
Last Update2012:01.16.12.04.26 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m16@80/2008/06.18.14.57.42
Metadata Last Update2021:02.11.18.10.23 (UTC) administrator
Secondary KeyINPE--PRE/
ISSN1414-8374
Citation KeySousaRamo:2000:ApDeSp
TitleExtremal Optimization: an Application to the Design of a Space Radiator
Year2000
Access Date2024, May 05
Secondary TypePRE PN
Number of Files1
Size212 KiB
2. Context
Author1 Sousa, Fabiano Lius de
2 Ramos, Fernando Manuel
Resume Identifier1
2 8JMKD3MGP5W/3C9JH4A
Group1 DMC-INPE-MCT-BR
2 LAC-INPE-MCT-BR
JournalBoletim SBMAC
Volume4
History (UTC)2008-06-18 15:04:37 :: marciana -> administrator ::
2010-05-11 20:57:18 :: administrator -> marciana ::
2012-01-16 12:02:20 :: marciana -> banon :: 2000
2012-01-16 12:05:04 :: banon -> administrator :: 2000
2012-07-17 12:34:59 :: administrator -> marciana :: 2000
2013-02-01 11:20:39 :: marciana -> administrator :: 2000
2021-02-11 18:10:23 :: administrator -> marciana :: 2000
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractThis paper shows the use of a new optimization method based on the concept of co-evolution natural selection to obtain an optimal configuration of coatings on the surface of a space radiator, such that an effective thermal-optical property specified to it is achieved or approximated. The method, named Extremal Optimization (EO),[2] is based on a evolutionary model developed by Bak and Sneppen,[1] that presents features of Self-Organized Criticality. Although it is an evolutive method, unlike the Genetic Algorithm (GA), there is no genetic codification of population in the EO. The EO method has already been compared with the GA and the simulated annealing (SA) for solving the graph partitioning and traveling salesman problems, showing equal or better performance in most of the studied cases.[2] For the present space radiator problem, the classical SA algorithm[3] was implemented, and the results were compared with those obtained with the EO.
AreaETES
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Extremal Optimization: an...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > Extremal Optimization: an...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Fileradiator.pdf
User Groupadministrator
banon
marciana
sergio
Visibilityshown
Archiving Policydenypublisher denyfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/446AF4B
Host Collectionsid.inpe.br/banon/2003/08.15.17.40
6. Notes
Empty Fieldsaffiliation alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress electronicmailaddress format isbn keywords label lineage mark mirrorrepository month nextedition notes number orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Description control
e-Mail (login)marciana
update 


Close