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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YDa/H6nGs
Repositorysid.inpe.br/iris@1916/2005/08.08.13.37   (restricted access)
Last Update2005:08.08.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/iris@1916/2005/08.08.13.37.33
Metadata Last Update2018:06.05.01.28.30 (UTC) administrator
Secondary KeyINPE-12934-PRE/8213
ISSN0160-5682
Citation KeyLorenaLope:1997:GeAlAp
TitleGenetic algorithms applied to computationally difficult set covering problems
Year1997
MonthApr.
Access Date2024, Apr. 28
Secondary TypePRE PI
Number of Files1
Size569 KiB
2. Context
Author1 Lorena, Luiz Aantonio Nogueira
2 Lopes, L. D. S.
Group1 LAC-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais, Laboratório Associado de Computação e Matemática  Aplicada, (INPE, LAC)
JournalJournal of the Operational Research Society
Volume48
Number4
Pages440-445
History (UTC)2005-08-08 13:37:33 :: sergio -> administrator ::
2006-09-28 22:35:28 :: administrator -> sergio ::
2008-01-07 12:49:50 :: sergio -> administrator ::
2018-06-05 01:28:30 :: administrator -> marciana :: 1997
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsgenetic algorithms
optimisation
set covering problems / OPTIMIZATION
AbstractThe set covering problem is a known NP-hard combinatorial optimisation problem for covering the rows of a matrix by a subset of columns at minimum cost. Genetic algorithms (GA) are a class of iteration procedures that simulate the evolution process of a structured population. The objective of this work is to show that a somewhat classical GA implementation reaches high quality computational results for difficult set covering problems arising in computing the 1-width of incidence matrices of Steiner triple systems. In computational tests all optimal and best known solutions were found for incidence matrices A(9), A(15), A(27), A(45), A(81) and A(243) with reasonable times for a microcomputer implementation. Other tests with classical set covering problems confirm the good results for an additional class of instances.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Genetic algorithms applied...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target Filegenetic algorithms.pdf
User Groupadministrator
sergio
Visibilityshown
Copy HolderSID/SCD
Archiving Policydenypublisher denyfinaldraft18
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
DisseminationWEBSCI; PORTALCAPES.
Host Collectionsid.inpe.br/banon/2003/08.15.17.40
6. Notes
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7. Description control
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