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Application of Genetic Algorithm for Optimal Reservoir Releases

Author(s):

Dr. T. M. V. Suryanarayana , Water Resources Engineering and Management Institute (WREMI), Faculty of Technology and Engineering, The Maharaja Sayajirao University of Baroda; Sumitra Sonaliya, Water Resources Engineering and Management Institute (WREMI), Faculty of Technology and Engineering, The Maharaja Sayajirao University of Baroda

Keywords:

Optimization, Genetic Algorithm, Ukai Reservoir Project.

Abstract

In the present study Genetic Algorithm (GA) has been used to develop a policy for optimizing the release of water for the purpose of irrigation. The study area is Ukai Reservoir project in Gujarat, India. Genetic algorithm technique is an optimization approach based on the mechanics of natural selection, derived from the Darwin’s theory of natural evolution. The fitness function used is to minimize the squared difference between the monthly reservoir release and irrigation demand along with squared deviation in mass balance equation. The months considered in the study are July, August, September and October for the year 2010 and 2011 respectively. The results obtained using GA shows that the downstream demands for the purpose of irrigation are completely satisfied and also considerable amount of water is saved.

Other Details

Paper ID: IJSRDV2I5037
Published in: Volume : 2, Issue : 5
Publication Date: 01/08/2014
Page(s): 88-90

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