Skip navigation
Please use this identifier to cite or link to this item: https://repositorio.unb.br/handle/10482/26286
Files in This Item:
File SizeFormat 
22433.pdf2,04 MBAdobe PDFView/Open
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDall'Igna Júnior, Alcinopt_BR
dc.contributor.authorSilva, Renato S.pt_BR
dc.contributor.authorMundim, Kleber C.pt_BR
dc.contributor.authorDardenne, Laurent E.pt_BR
dc.date.accessioned2017-12-07T04:41:35Z-
dc.date.available2017-12-07T04:41:35Z-
dc.date.issued2004pt_BR
dc.identifier.citationGenet. Mol. Biol.,v.27,n.4,p.616-622,2004pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/26286-
dc.description.abstractThe main goal of this study is to find the most effective set of parameters for the Simplified Generalized Simulated Annealing algorithm, SGSA, when applied to distinct cost function as well as to find a possible correlation between the values of these parameters sets and some topological characteristics of the hypersurface of the respective cost function. The SGSA algorithm is an extended and simplified derivative of the GSA algorithm, a Markovian stochastic process based on Tsallis statistics that has been used in many classes of problems, in particular, in biological molecular systems optimization. In all but one of the studied cost functions, the global minimum was found in 100% of the 50 runs. For these functions the best visiting parameter, qV, belongs to the interval [1.2, 1.7]. Also, the temperature decaying parameter, qT, should be increased when better precision is required. Moreover, the similarity in the locus of optimal parameter sets observed in some functions indicates that possibly one could extract topological information about the cost functions from these sets.pt_BR
dc.language.isoenpt_BR
dc.publisherSociedade Brasileira de Genéticapt_BR
dc.rightsAcesso Abertopt_BR
dc.titlePerformance and parameterization of the algorithm Simplified Generalized Simulated Annealingpt_BR
dc.typeArtigopt_BR
dc.subject.keywordoptimizationpt_BR
dc.subject.keywordgeneralized simulated annealingpt_BR
dc.identifier.doihttps://dx.doi.org/10.1590/S1415-47572004000400024pt_BR
Appears in Collections:Uso interno - em processamento

Show simple item record Recommend this item " class="statisticsLink btn btn-primary" href="/handle/10482/26286/statistics">



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.