rasinezam, M., shayeghi, H. (2017). Design and analysis of hybrid systems solar, wind, osmotic for green plants using ant colony optimization algorithm. Journal of Artificial Intelligence in Electrical Engineering, (), -.
mohsen rasinezam; hossein shayeghi. "Design and analysis of hybrid systems solar, wind, osmotic for green plants using ant colony optimization algorithm". Journal of Artificial Intelligence in Electrical Engineering, , , 2017, -.
rasinezam, M., shayeghi, H. (2017). 'Design and analysis of hybrid systems solar, wind, osmotic for green plants using ant colony optimization algorithm', Journal of Artificial Intelligence in Electrical Engineering, (), pp. -.
rasinezam, M., shayeghi, H. Design and analysis of hybrid systems solar, wind, osmotic for green plants using ant colony optimization algorithm. Journal of Artificial Intelligence in Electrical Engineering, 2017; (): -.
Design and analysis of hybrid systems solar, wind, osmotic for green plants using ant colony optimization algorithm
Articles in Press, Accepted Manuscript , Available Online from 06 February 2017
Department of power, Ardabil Branch, Islamic Azad University , Ardabil, Iran
Abstract
Nature has always proven that it is able to overcome its problems. However, human manipulation has led to environmental degradations. The dryness of a thousand-year Urmia Lake (a brinewater lake in Iran) is an example of environmental degradation that happened due to successive droughts and construction of dams on the basin of this lake. This study examines methods for the revival of Urmia Lake,by making use of the water gathered behind the dam of Urmia Lake for agricultural purposes. This examination will be carried out by constructing several green plants around this lake over 20 years. The cost and amount of this construction project is analyzed with MATLAB software and by using the Ant Colony Algorithm.
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