Comparision of the estimation of the least square and genetic algorithm throuth serval function in R

Abstract

R software is considered software in which various available functions make it possible to conduct extensive statistical calculations. Genetic algorithm is a method through which we search for approximate solution in optimization. This article aims at evaluating the functions existed in the R software which are employed for approximate solution in optimization. As a result, there has been produced least squares by usual methods for linear and non-linear models through genetic algorithm in this research.

Keywords: Least Squares, Genetic Algorithm, Linear Model, Nonlinear Model, Squares Average