Abstract: Genetic algorithms are optimization methods using to solve a problem based on the model of natural evolution which has number of steps like initialization, selection, crossover and mutation. The selection is one important operator in these algorithms. Selection is the process of finding out the best individuals for mating process, so that, the offspring are produced child than the previous population in this study, we introduced a technique selection of Genetic algorithms in turing machine that advantages to introduce of the candidate solutions and the Genetic diversity. The proposed technique that does not dependence on Grammatical Evolution (GE) to find the candidate solutions also the speed of work and accuracy and storage capacity less.