@article{(Open Science Index):https://publications.waset.org/pdf/3717, title = {Statistical Genetic Algorithm}, author = {Mohammad Ali Tabarzad and Caro Lucas and Ali Hamzeh}, country = {}, institution = {}, abstract = {Adaptive Genetic Algorithms extend the Standard Gas to use dynamic procedures to apply evolutionary operators such as crossover, mutation and selection. In this paper, we try to propose a new adaptive genetic algorithm, which is based on the statistical information of the population as a guideline to tune its crossover, selection and mutation operators. This algorithms is called Statistical Genetic Algorithm and is compared with traditional GA in some benchmark problems.}, journal = {International Journal of Computer and Information Engineering}, volume = {2}, number = {2}, year = {2008}, pages = {483 - 487}, ee = {https://publications.waset.org/pdf/3717}, url = {https://publications.waset.org/vol/14}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 14, 2008}, }