%0 Journal Article %A Mohammad Ali Tabarzad and Caro Lucas and Ali Hamzeh %D 2008 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 14, 2008 %T Statistical Genetic Algorithm %U https://publications.waset.org/pdf/3717 %V 14 %X 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. %P 483 - 487