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| 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 |
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