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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte3.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/mtc-m05@80/2008/06.27.18.19   (restricted access)
Last Update2008:06.27.18.42.57 (UTC) jefferson
Metadata Repositorysid.inpe.br/mtc-m05@80/2008/06.27.18.19.28
Metadata Last Update2021:02.11.18.23.55 (UTC) administrator
Secondary KeyINPE--PRE/
Label11150
Citation KeyCucoSousVlasSilv:2008:MuDeOp
TitleMulti-Objetive Design Optimization of a New Space Radiator
Year2008
Access Date2024, Apr. 28
Secondary TypePRE CI
Number of Files1
Size409 KiB
2. Context
Author1 Cuco, Ana Paula Curty
2 Sousa, Fabiano Luis
3 Vlassov, Valeri Vladimirovich
4 Silva Neto, Antonio José da
Group1 DMC-ETE-INPE-MCT-BR
2 DMC-ETE-INPE-MCT-BR
3 DMC-ETE-INPE-MCT-BR
Affiliation1 Engineering Simulation and Scientific Software
2
3
4 Universidade do Estado do Rio de Janeiro, IPRJ/UERJ
Conference NameInternational Conference on Engineering Optimization (EngOpt 2008).
Conference LocationRio de Janeiro
Date01 - 05 June 2008
Book TitleProceedings
History (UTC)2008-06-27 18:43:49 :: jefferson -> administrator ::
2010-05-12 04:23:36 :: administrator -> jefferson ::
2012-01-18 12:08:53 :: jefferson -> administrator ::
2021-02-11 18:23:55 :: administrator -> marciana :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsSpace Radiator
Multi-Objective Optimization
AbstractIn this work different multi-objective techniques have been applied to study the conceptual design of a new kind of space radiator. Called VESPAR (Variable Emittance Space Radiator), the radiator has an effective variable emmitance which makes it able to reduce or avoid the demand for heater power to warm up equipment during cold case operations in orbit. The multiobjective approach was aimed at obtaining a radiator that minimizes its mass and at the same time minimizes the need for heater power during cold case. Four multi-objective algorithms were used: Nondominated Sorting Genetic Algorithm II (NSGA-II), Multi-Objective Genetic Algorithm (MOGA), Multi-Objective Simulating Annealing (MOSA) and Multi-objective Generalized Extremal Optimization (M-GEO). The first three algorithms are part of the mode FRONTIER® optimization software package, while the MGEO is a recently proposed multi-objective implementation of the Generalized Extremal Optimization (GEO) algorithm. The Pareto frontier showing the trade-off solutions for the radiator mass as a function of heater power consumption has been obtained by the four algorithms and the results have been compared. An assessment of the performance of the M-GEO on this problem, compared to the other well-known multi-objective algorithms has also been made.
AreaETES
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > Multi-Objetive Design Optimization...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filecuco.pdf
User Groupadministrator
jefferson
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho Vinculado à Tese/Dissertação
Next Higher Units8JMKD3MGPCW/446AF4B
Host Collectionsid.inpe.br/banon/2001/04.03.15.36
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress format identifier isbn issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarytype type url volume
7. Description control
e-Mail (login)marciana
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