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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/marciana/2004/01.19.11.33
Last Update2004:04.01.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/marciana/2004/01.19.11.33.26
Metadata Last Update2018:06.05.01.20.50 (UTC) administrator
Secondary KeyINPE-10542-PRE/6014
ISBN/ISSNISBN 85-288-0040-7
Citation KeyChiwiacowskyCampPretStep:2003:PaAp
TitleIdentifying initial condition in heat conduction transfer by a genetic algorithm: a parallel approach
Year2003
Access Date2024, May 17
Secondary TypePRE CI
Number of Files1
Size185 KiB
2. Context
Author1 Chiwiacowsky, L. D.
2 Campos Velho, Haroldo Fraga de
3 Preto, Airam Jônatas
4 Stephany, Stephan
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC3
3 8JMKD3MGP5W/3C9JGGE
4 8JMKD3MGP5W/3C9JJ9D
Group1 LAC-INPE-MCT-BR
Conference NameIberian Latin-American Congress on Computational Methods in Engineering, 24 (CILAMCE).
Conference LocationOuro Preto
Date29 - 31 Oct. 2003
Book TitleProceedings
History (UTC)2018-06-05 01:20:50 :: administrator -> marciana :: 2003
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsparallel genetic algorithms
inverse problems
heat conduction
AbstractA parallel implementation of a genetic algorithm is proposed to solve the one-dimensional inverse heat conduction problem of determining the initial temperature distribution from the transient temperature noisy profile at a given time, considering insulated boundary conditions. Genetic algorithms are efficient search methods based on natural and genetic selection of population being inherently parallel [1]. This ill-posed problem requires the use of a regularization technique [2]. The solution is given by the candidate function which minimizes the functional given by the square differences between the experimental and simulated temperatures at a given time, plus the regularization term weighted by a regularization parameter. Therefore, this inverse problem is formulated as an optimization problem, which is solved by a parallel implementation of a specifically developed genetic algorithm method. This proposed method is based on individuals with genotypes formed by a set of real numbers [3]. The parallel code was generated using calls to the message passing communication library MPI (Message Passing Interface) [4]. Usually, parallel genetic algorithms work with sub-populations (demes) which are placed on each processor and it was used the migration policy given by the island model [5], In such model, individuals are free to migrate to any other processor, subjected to specific rules. The inversions were accomplished for two different population sizes (336 and 1008), being the individuals equally distributed among the processors. Number of processors was 2 to 16, and processing times show efficiencies between 0.9 and 1.14 for the 1008 individuals and between 0.83 and 0.89 for 336 individuals.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Identifying initial condition...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/sid.inpe.br/marciana/2004/01.19.11.33
zipped data URLhttp://urlib.net/zip/sid.inpe.br/marciana/2004/01.19.11.33
Languageen
Target Filecil261-37.pdf
User Groupadministrator
Visibilityshown
Copy HolderSID/SCD
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 7
sid.inpe.br/mtc-m21/2012/07.13.14.39.30 5
Host Collectionsid.inpe.br/banon/2003/08.15.17.40
6. Notes
Empty Fieldsaffiliation archivingpolicy archivist callnumber copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition editor electronicmailaddress format identifier isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Description control
e-Mail (login)marciana
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