| 粒子群算法的改进及在农业水资源配置的应用 |
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| 引用本文： | 张倩,张建丰,李涛,辛彦林,史娟.粒子群算法的改进及在农业水资源配置的应用[J].排灌机械工程学报,2020,38(6):637-642. |
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| 作者姓名： | 张倩 张建丰 李涛 辛彦林 史娟 |
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| 作者单位： | 西安理工大学水利水电学院,陕西 西安710048;西安理工大学水利水电学院,陕西 西安710048;西安理工大学水利水电学院,陕西 西安710048;西安理工大学水利水电学院,陕西 西安710048;西安理工大学水利水电学院,陕西 西安710048 |
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| 基金项目： | 陕西省教育厅科学研究项目 |
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| 摘 要： | 为了合理分配大荔县农业水资源,提高大荔县的农户总收益,建立农业水资源优化配置模型,得到大荔县主要农作物的合理种植面积以及灌水量优化配置方案,解决在不同作物中合理分配大荔县灌区有限农业水资源的问题,实现总收益最大化的目标.模型求解中使用粒子群算法,对算法同时进行线性递减惯性权值及限速粒子群的2种改进,解决了粒子逃离函数定义域导致程序中断的问题.结果表明:经过优化后大荔县丰水年(降雨频率P=25%)总收益为29.78亿元,平水年(P=50%)总收益为29.75亿元,枯水年(P=75%)总收益为29.50亿元,与优化前的总收益28.98亿元相比均有所增长,水资源更多分配给经济作物棉花,农作物种植面积和水量均实现最优分配.对改进前后的粒子群算法求解进行比较,改进后粒子群算法寻优能力强、结果可靠合理,为区域水资源优化配置提供了新的解决思路.
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| 关 键 词： | 农业水资源 优化配置 粒子群算法 大荔县 |
| 收稿时间： | 2018-06-20 |
Improvement of particle swarm optimization and its application in agricultural water resources allocation |
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| ZHANG Qian,ZHANG Jianfeng,LI Tao,XIN Yanlin,SHI Juan.Improvement of particle swarm optimization and its application in agricultural water resources allocation[J].Journal of Drainage and Irrigation Machinery Engineering,2020,38(6):637-642. |
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| Authors: | ZHANG Qian ZHANG Jianfeng LI Tao XIN Yanlin SHI Juan |
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| Institution: | School of Water Resources and Hydroelectric Engineering, Xi′an University of Technology, Xi′an, Shaanxi 710048, China |
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| Abstract: | In order to rationally allocate the agricultural water resources in Dali County and improve the total household income in Dali County, the optimal allocation model of the agricultural water resources was set up, and the rational planting area of the main crops and the optimal allocation scheme of agricultural water resources in Dali County were obtained. The problem of rational allocation of limi-ted agricultural water resources in different crops in irrigated areas in Dali County was solved, and the goal of maximizing total revenue was achieved. The particle swarm optimization(PSO)was used in the model solution, and two improvements were made to the linear decrement of inertia weight and the speed limit particle swarm. The problem of program interruption caused by the definition domain of particle escape function was solved. The results show that the total revenue of the rich water year(P=25%)is 2 billion 978 million yuan, the total revenue of the flat water year(P=50%)is 2 billion 975 million yuan, and the total revenue of the dry year(P=75%)is 2 billion 950 million yuan. Compared with the total revenue of 2 billion 898 million yuan before the optimization, more water resources are distributed to the economic crop cotton. The optimum distribution of plant area and water quantity is achieved. Comparing the PSO algorithm before and after the improvement, the improved PSO algorithm has strong optimization ability, and the result is reliable and reasonable, which provides a new solution for the optimization of regional water resources allocation. |
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| Keywords: | agricultural water resource optimal allocation particle swarm optimization algorithm Dali County |
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