Application of Differential Evolution for Irrigation Planning: An Indian Case Study |
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Authors: | A Vasan Komaragiri Srinivasa Raju |
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Affiliation: | (1) Department of Civil Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, India |
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Abstract: | The present paper demonstrates the applicability of population based search optimization method, namely, Differential Evolution
(DE) to a case study of Mahi Bajaj Sagar Project (MBSP), India. Ten different strategies of DE are employed to assess the
ability of DE for solving higher dimensional problems as an alternative methodology for irrigation planning. The parameters
considered in DE are population size, crossover constant and weighting factor. Linear Programming (LP) is utilized as a comparative
approach to assess the ability of DE. Comparison of results of LP and the 10 DE strategies for the given parameters indicated
that both the results are comparable even for high dimensional problems. Extensive sensitivity analysis studies, performed
for 3,600 combinations of above parameters for the 10 DE strategies suggested that DE/rand-to-best/1/bin strategy is the best
strategy giving maximum benefits taking minimum CPU time. It is concluded that DE can be utilized for efficient planning of
any irrigation system with suitable modifications. |
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Keywords: | cropping pattern differential evolution India irrigation planning linear programming |
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