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

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.