English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/54374
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

DARWIN: An evolutionary program for nonlinear modeling of chaotic time series

AuthorsÁlvarez-Díaz, Alberto ; Orfila, Alejandro ; Tintoré, Joaquín
Issue Date2001
PublisherElsevier
CitationComputer Physics Communications 136: 334- 349 (2001)
AbstractDARWIN is an efficient evolutionary algorithm programmed to approximate the functional relation, in symbolic form, that describes the behaviour of a time series. The search procedure is based on Darwinian theories of natural selection and survival. An initial population of potential solutions is subjected to an evolutionary process described by selection, reproduction and mutation processes which are repeated over generations until an optimum individual is finally found. DARWIN is particularly useful when the dynamical model that creates the time series is nonlinear. The code, based on a previously proposed evolutionary algorithm [Phys. Rev. E 55 (1997) 2557-2568], is programmed in Fortran 77. Darwin is actually employed as a predictor in a satellite based ocean forecasting system. © 2001 Elsevier Science B.V.
URIhttp://hdl.handle.net/10261/54374
DOI10.1016/S0010-4655(01)00154-0
Identifiersdoi: 10.1016/S0010-4655(01)00154-0
issn: 0010-4655
Appears in Collections:(IMEDEA) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.