Using Differential evolution algorithm for estimation parameters of nonlinear regression

Abstract

Estimating parameters in nonlinear models requires iterative techniques in which from a given initial
estimate is made for subsequent improvements up to the final estimate. Sometimes this ideal path is
interrupted by numerical overflows. In such cases, the Differential evolution algorithm (DE).