1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m16.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 6qtX3pFwXQZGivnJVY/UuPNd |
Repository | sid.inpe.br/mtc-m16@80/2008/06.18.14.57 (restricted access) |
Last Update | 2012:01.16.12.04.26 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m16@80/2008/06.18.14.57.42 |
Metadata Last Update | 2021:02.11.18.10.23 (UTC) administrator |
Secondary Key | INPE--PRE/ |
ISSN | 1414-8374 |
Citation Key | SousaRamo:2000:ApDeSp |
Title | Extremal Optimization: an Application to the Design of a Space Radiator |
Year | 2000 |
Access Date | 2024, May 05 |
Secondary Type | PRE PN |
Number of Files | 1 |
Size | 212 KiB |
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2. Context | |
Author | 1 Sousa, Fabiano Lius de 2 Ramos, Fernando Manuel |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JH4A |
Group | 1 DMC-INPE-MCT-BR 2 LAC-INPE-MCT-BR |
Journal | Boletim SBMAC |
Volume | 4 |
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 |
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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 |
Version Type | publisher |
Abstract | This 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. |
Area | ETES |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Extremal Optimization: an... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > Extremal Optimization: an... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Language | en |
Target File | radiator.pdf |
User Group | administrator banon marciana sergio |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3ESGTTP 8JMKD3MGPCW/446AF4B |
Host Collection | sid.inpe.br/banon/2003/08.15.17.40 |
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6. Notes | |
Empty Fields | affiliation 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 |
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7. Description control | |
e-Mail (login) | marciana |
update | |
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