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

Published: 15 May 2001| Version 1 | DOI: 10.17632/fdvzpn8d9c.1
A. Alvarez, A. Orfila, J. Tintore


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 particularl... Title of program: DARWIN Catalogue Id: ADOA_v1_0 Nature of problem To estimate the dynamical model that creates an observed deterministic time series. To achieve short-term forecasts of chaotic systems. Versions of this program held in the CPC repository in Mendeley Data ADOA_v1_0; DARWIN; 10.1016/S0010-4655(01)00154-0 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)



Computational Physics, Computational Method