Using of Metaheuristic Water Cycle Algorithm in order to Determine Optimal Crop Cultivation across of Genetic Algorithm and linear programming (Case Study: Varamin Irrigation Network)

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GANJI KHORRAMDEL N.; Abdoos M.; Hoseini Mooghaari S. M.

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Journal: Journal of Water and Soil Science Year:2019 | Volume:23 | Issue:3 Page(s): 211-221

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Title

Using of Metaheuristic Water Cycle Algorithm in order to Determine Optimal Crop Cultivation across of Genetic Algorithm and linear programming (Case Study: Varamin Irrigation Network)

Author(s)

GANJI KHORRAMDEL N. | Abdoos M. | Hoseini Mooghaari S. M. | Issue Writer Certificate

Keywords

Metha-heuristic OptimizationQ1

Cultivation PatternQ1

Crop YieldQ1

Water Cycle AlgorithmQ1

Genetic AlgorithmQ2

Abstract

Due to water use increasing, attention to optimal water resources allocation is needed. In recent decades, the use of intelligent evolutionary methods for optimization of water allocation was focused more by researchers. The aim of this study is to development on water resources planning model that determined the proper cultivation, optimal exploitation of groundwater and surface water resources although water allocation among crops is a way to minimize the adverse effects of dehydration and increase its revenue. In this study, for maximizing profits, estimating crop water requirements at different periods to optimize the management of cropping patterns and irrigation management in cultivation in Varamin irrigation network using a new evolutionary algorithm was called the water cycle. Then for validation of this method is that a new approach and ensure the integrity of its performance Its results are compared with a Genetic Algorithm model and linear programming as our base (R2=0. 9963). The results showed that the area cropping pattern was not optimal and the area under cultivation of crops such as wheat, barley, tomatoes, Bamjan, melon, alfalfa reaches zero and the new paradigm of the largest area under cultivation to industrial goods and then was assigned cucumbers. While our revenues have increased about 11 percent. In addition to amount of water in different months remain in the network that can be used for many that such as injection into underground aquifers or other crops based on the amount of water available.

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APA: Copy

GANJI KHORRAMDEL, N., Abdoos, M., & Hoseini Mooghaari, S. M.. (2019). Using of Metaheuristic Water Cycle Algorithm in order to Determine Optimal Crop Cultivation across of Genetic Algorithm and linear programming (Case Study: Varamin Irrigation Network). WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 23(3 ), 211-221. SID. https://sid.ir/paper/367383/en

Vancouver: Copy

GANJI KHORRAMDEL N., Abdoos M., Hoseini Mooghaari S. M.. Using of Metaheuristic Water Cycle Algorithm in order to Determine Optimal Crop Cultivation across of Genetic Algorithm and linear programming (Case Study: Varamin Irrigation Network). WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2019;23(3 ):211-221. Available from: https://sid.ir/paper/367383/en

IEEE: Copy

N. GANJI KHORRAMDEL, M. Abdoos, and S. M. Hoseini Mooghaari, “Using of Metaheuristic Water Cycle Algorithm in order to Determine Optimal Crop Cultivation across of Genetic Algorithm and linear programming (Case Study: Varamin Irrigation Network),” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 23, no. 3 , pp. 211–221, 2019, [Online]. Available: https://sid.ir/paper/367383/en

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