Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/54374
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Title: DARWIN: An evolutionary program for nonlinear modeling of chaotic time series
Authors: Álvarez, Alberto, Orfila, Alejandro, Tintoré, Joaquín
Issue Date: 2001
Publisher: Elsevier
Abstract: DARWIN 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.
URI: http://hdl.handle.net/10261/54374
Identifiers: doi: 10.1016/S0010-4655(01)00154-0
issn: 0010-4655
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Citation: Computer Physics Communications 136: 334- 349 (2001)
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