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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3LTDEM8
Repositorysid.inpe.br/mtc-m21b/2016/06.20.18.37
Last Update2016:06.21.14.31.31 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2016/06.20.18.37.32
Metadata Last Update2018:06.04.02.40.57 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyRodriguesSiMaMiDiLu:2016:MuOpAp
TitleMultiobjective optimization application in doe problems with multiple responses
Year2016
Access Date2024, Apr. 26
Secondary TypePRE CI
Number of Files1
Size8 KiB
2. Context
Author1 Rodrigues, Douglas Miranda
2 Silvar, Aneirson Francisco da
3 Marins, Fernando Augusto Silva
4 Miranda, Rafael de Carvalho
5 Dias, Érica Ximenes
6 Luche, José Roberto Dale
Group1 LCP-CTE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade Estadual Paulista (UNESP)
3 Universidade Estadual Paulista (UNESP)
4 Universidade Federal de Itajubá (UNIFEI)
5 Universidade Estadual Paulista (UNESP)
6 Universidade Estadual Paulista (UNESP)
Author e-Mail Address1 douglas.rodrigues@inpe.br
2 aneirson@gmail.com
3 fmarins@feg.unesp.br
4 mirandaprod@yahoo.com.br
5 ericaximenes@yahoo.com.br
6 dluche@gmail.com
Conference NameInternational Conference on Nonlinear Science and Complexity, 6
Conference LocationSão José dos Campos, SP
Date16-20 May
History (UTC)2016-06-20 18:38:05 :: simone -> administrator :: 2016
2018-06-04 02:40:57 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typefinaldraft
KeywordsEpidemiology and Mathematical Models
Modeling
Numerical Simulation and Optimization
Nonlinear Systems and Neural Dynamics
Goal Programming
Compromise Programming
AbstractIn many areas, from Engineering to Economics, problems present themselves as multiobjective, which makes a decision-making process complex. Generally, these are conflicting objectives, and optimization techniques are necessary to achieve better results. This paper applies agglutination methods in classical problems of design of experiments with multiple responses. A theoretical review was made, and a new method was developed, using Compromise Programming and Goal Programming, with results comparison and analysis. The new proposal presented better results when compared to the traditional approach, qualifying this procedure as an alternative in multiple responses optimization.
AreaCOMB
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABCP > Multiobjective optimization application...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34P/3LTDEM8
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34P/3LTDEM8
Languageen
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho não Vinculado à Tese/Dissertação
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ET38CH
Citing Item Listsid.inpe.br/mtc-m21b/2013/09.26.14.25.22 2
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject targetfile tertiarytype type url volume
7. Description control
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