基于双频蝙蝠算法的树状灌溉管网规划  

Planning of tree-type irrigation pipe network based on the dual-frequency bat algorithm

作　　者：吕石磊 卢思华 魏志威 李震 吴奔雷 LYU Shilei;LU Sihua;WEI Zhiwei;LI Zhen;WU Benlei(College of Electronic Engineering,South China Agricultural University,Guangzhou,Guangdong 510642,China;Division of Citrus Machinery,China Agriculture Research System,Guangzhou,Guangdong 510642,China)

机构地区：[1]华南农业大学电子工程学院,广东广州510642 [2]国家柑橘产业技术体系机械化研究室,广东广州510642

出　　处：《湖南农业大学学报（自然科学版）》2020年第1期99-106,共8页Journal of Hunan Agricultural University(Natural Sciences)

基　　金：国家自然科学基金项目(61601189,31971797);现代农业产业技术体系建设专项(CARS–26);广东省科技计划项目(2016A020210088);广州市科技计划项目(201803020037)

摘　　要：以管网投资费用最低为目标,建立了改进的自压树状灌溉管网规划模型,通过定义管网用水节点的上层水节点来保证管道连通性;同时,提出了改进的双频蝙蝠算法,通过使用双脉冲频率策略均衡算法多样性与收敛性。基于12个100维度测试函数的寻优结果表明,与遗传算法、粒子群算法及蝙蝠算法相比,双频蝙蝠算法能够有效提高全局搜索能力;应用双频蝙蝠算法分别对10节点和34节点的管网进行规划设计,管网投资费用均值较蝙蝠算法可分别减少23.60%和31.03%。An improved planning model of tree-type irrigation pipe network is proposed with the purpose of minimizing the expenditure of construction. Pipeline connectivity is guaranteed by using the concept of high-level nodes. Meanwhile, an improved dual-frequency bat algorithm(DFBA) is proposed to balance the diversity and convergence of the proposed algorithm by dual-frequency strategy. The optimization 100 dimension results of 12 test functions indicate that the DFBA can enhance global search capability effectively in comparison to the genetic algorithm, the particle swarm optimization algorithm and the original bat algorithm. Finally, planning experiments are performed on 2 pipe network cases, which consist of 10 nodes and 34 nodes respectively. Compared to the original bat algorithm, the mean values of investment cost obtained using the DFBA can be reduced by 23.60% in the pipe network of 10 nodes, and 31.03% in the pipe network of 34 nodes, respectively.

关 键 词：自压树状灌溉管网 管网部署 双频蝙蝠算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] S274.2[自动化与计算机技术—计算机科学与技术]