THE GENETIC ALGORITHM METHOD FOR PARAMETER ESTIMATION IN NONLINEAR REGRESSION

Abstract

ABSTRACT

In  this  study,  an  alternative  method has been proposed for the parameter estimation in non-linear regression. This method is the  genetic algorithms technique which is widely used in recent years. Unlike other parameter estimation methods, genetic algorithms  do not require supplementary information and thus are functional for practical purposes. Genetic algorithms are shown to achieve effective solutions compared to other methods in the S-type growth models. The results have established that genetic  algorithms with no need for auxiliary information can be used for parameter estimation in non-linear regression.     

 

Key Words: Nonlinear Regression, S-Type Growth Model, Genetic Algorithms

Keywords

• Nonlinear Regression, S-Type Growth Model, Genetic Algorithms