Irrigation Planning using Genetic Algorithms

Srinivasa Raju, K and Kumar, Nagesh D (2004) Irrigation Planning using Genetic Algorithms. In: Water Resources Management, 18 (2). pp. 163-176.

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Abstract

The present study deals with the application of Genetic Algorithms (GA) for irrigation planning. The GA technique is used to evolve efficient cropping pattern for maximizing benefits for an irrigation project in India. Constraints include continuity equation, land and water requirements, crop diversification and restrictions on storage. Penalty function approach is used to convert constrained problem into an unconstrained one. For fixing GA parameters the model is run for various values of population, generations, cross over and mutation probabilities. It is found that the appropriate parameters for number of generations, population size, crossover probability, and mutation probability are 200, 50, 0.6 and 0.01 respectively for the present study. Results obtained by GA are compared with Linear Programming solution and found to be reasonably close. GA is found to be an effective optimization tool for irrigation planning and the results obtained can be utilized for efficient planning of any irrigation system

Item Type:	Journal Article
Publication:	Water Resources Management
Publisher:	Kluwer Academic Publishers
Additional Information:	This article copyright belongs to Kluwer Academic Publishers.
Keywords:	cropping pattern;genetic algorithms;irrigation planning; linear programming
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	03 Jul 2007
Last Modified:	20 Jan 2012 06:08
URI:	http://eprints.iisc.ac.in/id/eprint/11383

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