| 引用本文: | 李连豪,金世哲,杨小密,等.基于改进哈里斯鹰算法的加压滴灌管网多目标优化布置[J].灌溉排水学报,2026,45(6):92-101. |
| LI Lianhao,JIN Shizhe,YANG Xiaomi,et al.基于改进哈里斯鹰算法的加压滴灌管网多目标优化布置[J].灌溉排水学报,2026,45(6):92-101. |
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| 摘要: |
| 【目的】在轮灌条件下，对加压滴灌管网的布置方案以及轮灌组的划分进行优化，实现滴灌系统全生命周期经济成本的最优控制。【方法】在轮灌方式下的管网布局问题中，轮灌组划分方式从根本上决定管网中的流量分布，从而影响管网布置、管网设计和管网总成本。兼顾水压、流速，以及轮灌条件下的约束，构建多目标优化模型，以灌溉系统管道全生命周期成本最小作为经济性目标函数，以富余水头绝对值均值与均方差之和为可靠性目标函数，建立数学模型，采用融合混沌初始化、双混沌扰动及自适应精英选择策略改进哈里斯鹰算法（HHO），并用改进后的哈里斯鹰算法求解滴灌系统中多约束条件下的最优解，得出最优的可靠性目标和经济性目标以及该条件下的轮灌组顺序及管径组合。【结果】以河南某滴灌工程为实例，利用改进后MOHHO求解，通过熵权-Topsis法综合评价，筛选出兼顾经济性与可靠性的最优方案；实例结果显示，改进后MOHHO生成的Pareto（帕累托）最优前沿解集质量优于传统算法，同等灌溉均匀性下经济成本更低；熵权-Topsis法可避免决策的主观偏差。【结论】优化方案较原设计全周期成本降低12.36%，富余水头相关指标降低11.10%，为工程设计提供可靠的技术方案。 |
| 关键词: 农田加压滴灌；轮灌组；改进哈里斯鹰算法；Pareto前沿解；多目标优化 |
| DOI：10.13522/j.cnki.ggps.2025388 |
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| An improved Harris-Hawks algorithm for multi-objective optimization of pressurized drip irrigation pipe networks under rotational irrigation |
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LI Lianhao, JIN Shizhe, YANG Xiaomi, HAN Qibiao, QIN Weihua, XIAO Yatao, LI Donghao
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1. College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China;
2. Sanmenxia City Company, Henan Tobacco Company, Sanmenxia 472000, China;
3. College of Resources and Environment, Henan Agricultural University, Zhengzhou 450046, China;
4 Institute of Farmland Irrigation, Chinese Academy of Agricultural Sciences, Xinxiang 453400, China
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| Abstract: |
| 【Objective】Drip irrigation systems have been widely used in agriculture due to their high water use efficiency. However, their design under rotational irrigation conditions involves a complex trade-off between economic cost and hydraulic reliability. This study proposes a method to optimize the layout of pressurized drip irrigation pipe networks and division of irrigation sets under rotational irrigation conditions to minimize the life-cycle economic cost and maintain the reliability of the system. 【Method】The optimization is based on a multi-objective model, considering hydraulic constraints such as water pressure and flow velocity. The economic objective is to minimize the life-cycle cost of the pipeline system, and the reliability objective is defined as the sum of the mean and standard deviation of the absolute surplus head. An improved multi-objective Harris Hawks Optimization (MOHHO) algorithm was developed to solve the model by introducing chaotic population initialization, a hybrid dual-chaotic perturbation strategy, and an adaptive elite selection mechanism. The model was applied to an irrigation district in Henan Province as a case study.【Result】The results demonstrated that the proposed model is effective, and that the improved MOHHO algorithm generated a high-quality Pareto frontier compared with the conventional algorithm. The entropy weight-TOPSIS method was employed to select the optimal compromise solution and reduce subjective bias in decision-making. Under equivalent requirements for irrigation uniformity, the proposed method reduced economic cost and improved hydraulic reliability of the irrigation system.【Conclusion】Compared with the original design, the optimal design generated by the proposed method reduces total system cost by 12.36% and improves the surplus head-related performance indicator by 11.10%. It is thus effective and practical for designing pressurized drip irrigation systems under rotational irrigation conditions. |
| Key words: farmland pressurized drip irrigation; rotational irrigation group; improved Harris Hawk Algorithm; Pareto frontier solution; multi-objective optimization |
