A Comparative Study between the Mote Carlo Simulation and Genetic algorithm regarding the Problem of Minimum Variance Estimate

Abstract

In this research, the Monte Carlo simulation and genetic algorithm have been carried out on the problem of minimum variance estimate, algorithm was suggested to find out the estimate that realize the minimum variance which its application lead to number of resolutions equivalent to the number of times of generating algorithm including the minimum estimate and application the Monte Carlo simulation on same problem to find out random resolutions. This study assured that the Genetic algorithm is the best to resolve such kinds of problems.