An improved Harris-Hawks algorithm for multi-objective optimization of pressurized drip irrigation pipe networks under rotational irrigation
LI Lianhao
JIN Shizhe
YANG Xiaomi
HAN Qibiao
QIN Weihua
XIAO Yatao
LI Donghao
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.
Keywords：farmland pressurized drip irrigationrotational irrigation groupimproved Harris Hawk AlgorithmPareto frontier solutionmulti-objective optimization
Publication Date：2026-06-30
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：10( 92-101 )