%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