@article{(Open Science Index):https://publications.waset.org/pdf/5993,
	  title     = {Design of Gravity Dam by Genetic Algorithms},
	  author    = {Farzin Salmasi},
	  country	= {},
	  institution	= {},
	  abstract     = {The design of a gravity dam is performed through an
interactive process involving a preliminary layout of the structure
followed by a stability and stress analysis. This study presents a
method to define the optimal top width of gravity dam with genetic
algorithm. To solve the optimization task (minimize the cost of the
dam), an optimization routine based on genetic algorithms (GAs) was
implemented into an Excel spreadsheet. It was found to perform well
and GA parameters were optimized in a parametric study. Using the
parameters found in the parametric study, the top width of gravity
dam optimization was performed and compared to a gradient-based
optimization method (classic method). The accuracy of the results
was within close proximity. In optimum dam cross section, the ratio
of is dam base to dam height is almost equal to 0.85, and ratio of dam
top width to dam height is almost equal to 0.13. The computerized
methodology may provide the help for computation of the optimal
top width for a wide range of height of a gravity dam.},
	    journal   = {International Journal of Geological and Environmental Engineering},
	  volume    = {5},
	  number    = {8},
	  year      = {2011},
	  pages     = {452 - 457},
	  ee        = {https://publications.waset.org/pdf/5993},
	  url   	= {https://publications.waset.org/vol/56},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 56, 2011},
	}