Using the Genetic Algorithm to Maximize the Likelihood Function of Normal Distribution

In this research, the genetic algorithm (GA) has been carried out. This application is considered to be a manufacturing treatment to find the value which maximizes the likelihood function . An algorithm has been proposed to find the values which maximize. The likelihood function for normal distribution. The application of this algorithm enables us to find out several solutions, including the value which is responsible for the maximization of the likelihood function and the number of the latter is equal to the times for generating the algorithm.