Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/3093

TítuloDynDE : a differential evolution for dynamic optimization problems
Autor(es)Mendes, Rui
Mohais, Arvind
Palavras-chaveDynamic optimization
Differential evolution
DataSet-2005
EditoraIEEE
CitaçãoIEEE CONGRESS ON EVOLUTIONARY COMPUTATION, 2005 - "2005 IEEE congress on evolutionary computation". New York : Ieee, 2005. ISBN 0-7803-9363-5.
Resumo(s)This paper presents an approach of using Differential Evolution (DE) to solve dynamic optimization problems. Careful setting of parameters is necessary for DE algorithms to successfully solve optimization problems. This paper describes DynDE, a multi-population DE algorithm developed specifically to solve dynamic optimization problems that doesn't need any parameter control strategy for the F or CR parameters. Experimental evidence has been gathered to show that this new algorithm is capable of efficiently solving the moving peaks benchmark.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/3093
ISBN0780393635
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:DI/CCTC - Artigos (papers)

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