The parametre estimation of nonlinear economteric models with genetic algortihm approach

The aim of this study is to show Genetic Algorithms are not only used tosolve Optimization Problems but also used as an alternative way to estimateparameters in econometric models. Whithin the frame of this work it is aimedto estimate the parameters and the Genetic Algorithms by using a nonlineartrend model and the Turkish Central Bank?s 132 monthly average foreigncurrency data dated from January 1991 to December 2001. From this point ofthe aim, first of all, in their parameters the nonlinear econometric parametersare estimated. After that, the estimations have been used as the starting valuein direct numerical search methods to obtain the estimated parameters.Finally, the parameter estimation have been found by Genetic Algorithms. As aresult, the findings have been compared with the other search methods.