@article{MAKHILLJEAS2019141518130,
    title = {Selection Technique of Genetic Algorithm in Turing Machine},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {15},
    pages = {4980-4988},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.4980.4988},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.4980.4988},
    author = {Eman and},
    keywords = {Genetic algorithms,grammatical evolution,selection method,turing machine,differential equation,proposed},
    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.}
    }