| Cite this article: | 李彦彬,马嘉彤,李道西,等.改进粒子群算法在农业种植结构优化中的应用[J].灌溉排水学报,0,():-. |
| LI Yanbin,MA Jiatong,LI Daoxi,et al.改进粒子群算法在农业种植结构优化中的应用[J].灌溉排水学报,0,():-. |
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| Application of Improved PSO Algorithm in Agricultural Planting Structure Optimization |
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LI Yanbin, MA Jiatong, LI Daoxi, WANG Fei
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North China University of Water Resources and Electric Power
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| Abstract: |
| 【Objective】 In order to improve the efficient use of regional agricultural water resources, it is necessary to reduce the irrigation water demand. 【Method】 Taking Anyang City as an example, the objective was to select the greatest economic, social, ecological, and water resources benefits in a comprehensive manner. The inertia weight decay strategy and particle mutation strategy were introduced to establish a multi-objective agricultural planting structure optimization model based on an improved particle swarm optimization algorithm.【Result】By adjusting the planting structure in the base year and plan years, the proportion of grain crops such as wheat and corn that consume a large amount of water was reduced, while the proportion of cash crops such as oil-bearing crops, vegetables, and edible fungus was increased, so that the comprehensive benefits were improved. The supply-demand contradiction of agricultural water resources was alleviated to a certain extent while meeting the water demand of crops during the whole growth period. 【Conclusion】The study aims to optimize the balance of regional planting structure ratio and ensure food security, which is used to provide the theoretical basis and data support for further optimization of agricultural water resources management. |
| Key words: planting structure optimization; water resources optimization; multi-objective planning; agricultural water saving;improved particle swarm optimization |
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