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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/349CMDE
Repositorysid.inpe.br/mtc-m18@80/2008/11.21.17.23   (restricted access)
Last Update2010:06.01.13.31.11 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18@80/2008/11.21.17.23.11
Metadata Last Update2018:06.04.03.56.02 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1007/s10489-008-0145-8
ISSN1573-7497
Citation KeyLinharesYana:2010:FaTrOf
TitleSearch intensity versus search diversity: a false trade off?
Year2010
Access Date2024, Apr. 28
Secondary TypePRE PI
Number of Files1
Size472 KiB
2. Context
Author1 Linhares, A.
2 Yanasse, Horácio Hideki
Group1 LAC-CTE-INPE-MCT-BR
Affiliation1 EBAPE/FGV
2 Instituto Nacional de Pesquisas Espaciais (INPE)
JournalApplied Intelligence
Volume32
Number3
Pages279-291
Secondary MarkB1_CIÊNCIA_DA_COMPUTAÇÃO
History (UTC)2008-11-21 17:23:12 :: simone -> administrator ::
2010-05-11 01:25:05 :: administrator -> simone ::
2010-07-05 14:55:25 :: simone -> banon :: 2010
2010-07-12 20:50:51 :: banon -> administrator :: 2010
2010-07-12 20:53:11 :: administrator -> marciana :: 2010
2011-05-21 00:08:13 :: marciana -> administrator :: 2010
2018-06-04 03:56:02 :: administrator -> marciana :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsCombinatorial optimization
Coordination policies
Distance metrics
Modern heuristics
Search methods
AbstractAn implicit tenet of modern search heuristics is that there is a mutually exclusive balance between two desirable goals: search diversity (or distribution), i.e., search through a maximum number of distinct areas, and, search intensity, i.e., a maximum search exploitation within each specific area. We claim that the hypothesis that these goals are mutually exclusive is false in parallel systems. We argue that it is possible to devise methods that exhibit high search intensity and high search diversity during the whole algorithmic execution. It is considered how distance metrics, i.e., functions for measuring diversity (given by the minimum number of local search steps between two solutions) and coordination policies, i.e., mechanisms for directing and redirecting search processes based on the information acquired by the distance metrics, can be used together to integrate a framework for the development of advanced collective search methods that present such desiderata of search intensity and search diversity under simultaneous coexistence. The presented model also avoids the undesirable occurrence of a problem we refer to as the 'ergometric bike phenomenon'. Finally, this work is one of the very few analysis accomplished on a level of meta-meta-heuristics, because all arguments are independent of specific problems handled (such as scheduling, planning, etc.), of specific solution methods (such as genetic algorithms, simulated annealing, tabu search, etc.) and of specific neighborhood or genetic operators (2-opt, crossover, etc.).
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Search intensity versus...
doc Directory Contentaccess
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4. Conditions of access and use
Languageen
Target Filesearch intensity.pdf
User Groupadministrator
banon
marciana
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
DisseminationWEBSCI; PORTALCAPES.
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
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7. Description control
e-Mail (login)marciana
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