@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},