This paper explored the magnificent methodology of Genetic Algorithm. Genetic Algorithm provides the solution of several, complex Problems. The implementation of Genetic Algorithm using the standard mutation as well as crossover operators locate the optimal solution of different problems but sometime failed to provide the optimal solution. Future Genetic Algorithm apply on the feature selection, techniques and some Standard datasets, to elaborate the application, of feature Selection techniques. The results shows Genetic Algorithm provide the best and mean value of every generation.