Optimization of Sistan Plain Cropping Pattern Using Multi-Objective Chaotic Particle Swarm Optimization Algorithm

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Siasar H.; SALARI A.

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Journal Paper

Paper Information

Journal: Iranian Journal of Irrigation and Drainage Year:2022 | Volume:15 | Issue:5 Page(s): 1006-1017

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Information Journal Paper

Title

Optimization of Sistan Plain Cropping Pattern Using Multi-Objective Chaotic Particle Swarm Optimization Algorithm

Author(s)

Siasar H. | SALARI A. | Issue Writer Certificate

Keywords

Cultivation area

Deficit irrigation

Model sensitivity

Sistan plain

Abstract

Increasing population and food demand, disproportionate cultivation and annual production of various agricultural products with market needs and low productivity of the agricultural sector and the loss of water and soil resources have made it necessary to determine and implement the country's optimal cropping pattern. In this study, due to the limitations and problems of classical methods in order to reduce processing time and improve the quality of solutions, the Multi-Objective Chaotic Particle Swarm Optimization was used to determine the optimal cultivation pattern of Sistan plain in optimal conditions and Deficit irrigation. The results of the Multi-Objective Chaotic Particle Swarm Optimization for the dominant cultures in the region showed that the current cropping pattern of the region is not optimal and with the implementation of the proposed model, the profit per unit area under cultivation will increase. The results of application of Deficit irrigation during different growing periods of wheat, barley, alfalfa, sorghum, watermelon and grapes showed that applying Deficit irrigation in this plain is not a good strategy and therefore only a full irrigation strategy is recommended. The results of sensitivity analysis of the model showed that at low prices, farmers reaction is less and at higher prices more reaction to price changes and with increasing prices, the program efficiency is lower.

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APA: Copy

Siasar, H., & SALARI, A.. (2022). Optimization of Sistan Plain Cropping Pattern Using Multi-Objective Chaotic Particle Swarm Optimization Algorithm. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 15(5 ), 1006-1017. SID. https://sid.ir/paper/1056647/en

Vancouver: Copy

Siasar H., SALARI A.. Optimization of Sistan Plain Cropping Pattern Using Multi-Objective Chaotic Particle Swarm Optimization Algorithm. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2022;15(5 ):1006-1017. Available from: https://sid.ir/paper/1056647/en

IEEE: Copy

H. Siasar, and A. SALARI, “Optimization of Sistan Plain Cropping Pattern Using Multi-Objective Chaotic Particle Swarm Optimization Algorithm,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 15, no. 5 , pp. 1006–1017, 2022, [Online]. Available: https://sid.ir/paper/1056647/en

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