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

被引：11

作者：

Dutta, S. ^{[1
]}

Sahoo, B. C. ^{[2
]}

Mishra, Rajashree ^{[1
]}

Acharya, S. ^{[1
]}

机构：

[1] KIIT Univ, Sch Appl Sci, Dept Math, Bhubaneswar, Orissa, India

[2] Orissa Univ Agr & Technol, Coll Agr Engn & Technol, Dept Soil & Water Conservat Engn, Bhubaneswar, Orissa, India

来源：

WATER RESOURCES MANAGEMENT | 2016年 / 30卷 / 12期

关键词：

Cropping pattern; Water balance; Genetic algorithm; Fuzzy stochastic programming; Multi-objective programming; OPTIMAL CROPPING PATTERN; PROGRAMMING-PROBLEMS; CONJUNCTIVE USE; IRRIGATION; MANAGEMENT; RESOURCES; OPTIMIZATION; ALLOCATION; RESERVOIR; MODEL;

D O I：

10.1007/s11269-016-1406-7

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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.

引用

页码：4097 / 4123

页数：27

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