Fuzzy Stochastic Genetic Algorithm for Obtaining Optimum Crops Pattern and Water Balance in a Farm

S. Dutta (), B.C. Sahoo (), Rajashree Mishra () and S. Acharya ()
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S. Dutta: KIIT University
B.C. Sahoo: College of Agricultural Engineering and Technology
Rajashree Mishra: KIIT University
S. Acharya: KIIT University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 12, No 5, 4097-4123

Abstract: Abstract This paper is concerned with multi-objective fuzzy stochastic model for determination of optimum cropping patterns with water balance for the next crop season. The objective functions of the model is to study the effect of various cropping patterns on crop production subject to total water supply in a small farm. The decision variables are the cultivated area of different crops at the farm. The water requirement of the crops follows fuzzy uniform distribution and yields in the objective functions are taken as a fuzzy numbers. The model is solved by using fuzzy stochastic simulation based genetic algorithm without deriving the deterministic equivalents.

Keywords: Cropping pattern; Water balance; Genetic algorithm; Fuzzy stochastic programming; Multi-objective programming (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11269-016-1406-7

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