水资源与水工程学报2026，Vol.37Issue(1)：211-219,9.DOI:10.11705/j.issn.1672-643X.2026.01.24
基于MOEA-H6的自压灌溉管网优化设计研究
Optimization design of self-pressurized irrigation pipe networks based on MOEA-H6
摘要
Abstract
To ensure the safe operation of self-pressurized irrigation pipe network systems and improve the eco-nomic benefits of engineering construction,this study establishes a multi-objective optimization model based on the multi-objective evolutionary algorithm with hybrid six search operators(MOEA-H6).The model aims to minimize network construction costs,pressure fluctuation entropy,and the standard deviation of node pres-sure,and is subject to constraints including network layout,energy conservation,and node pressure limits.The applicability and optimization performance of the MOEA-H6 algorithm on a self-pressurized irrigation pipe network were compared with the multi-objective evolutionary algorithm based on decomposition and domi-nance(MOEA/DD),and the non-dominated sorting genetic algorithm Ⅲ(NSGA-Ⅲ).The results demon-strate that,compared with conventional manual design scheme,the design scheme of MOEA-H6 can reduce the construction cost,pressure fluctuation entropy,and node pressure standard deviation by 24.55%,19.35%,and 42.31%,respectively.This scheme can provide a feasible technical approach and theoretical basis for the optimization design of self-pressurized irrigation pipe networks.关键词
自压灌溉管网/管径优化/进化算法/多元算子/多目标优化Key words
self-pressurized irrigation pipe network/pipe diameter optimization/evolutionary algorithm/mul-tivariate operator/multi-objective optimization分类
农业科技引用本文复制引用
刘华栋,王振华,张金珠,刘宁宁,李淼,尹飞虎..基于MOEA-H6的自压灌溉管网优化设计研究[J].水资源与水工程学报,2026,37(1):211-219,9.基金项目
新疆维吾尔自治区人才发展基金——科研创新平台项目(兵团农业水肥高效关键装备技术创新中心) （兵团农业水肥高效关键装备技术创新中心）
石河子大学科技攻关项目(KJGG202405) （KJGG202405）
兵团农业GG项目(2023AA305) （2023AA305）
国家自然科学基金项目(52279040) （52279040）
