灌溉管网优化设计方法与软件的研究进展

Research Advances about Methods and Software for Irrigation Pipe Network Design Optimization

分析了国内外灌溉管网优化方法的研究历史和现状,探讨了遗传算法等新型算法在管网优化中的应用及灌溉管网优化设计软件的研究进展,预测了其未来的研究方向。指出未来研究将在应用遗传算法、模拟退火算法、神经网络及其混合算法等新型优化计算方法的基础上,加强管网优化布置、管网经济性和运行可靠性等方面的研究;预测了综合利用可视化语言、CAD、GIS等多种成熟商用软件及决策支持系统、专家系统等方面的研究成果,研发基于用户偏好信息且具有较强优化功能和人工干预能力的集成化、组件式灌溉管网优化设计软件将会得到较快发展。

the paper reviews research history and status quo of irrigation pipe network design optimization, discusses the uses of such new optimization methods as GA in irrigation pipe network design optimization and research advances about the software for irrigation pipe network design optimization, and envisages the future research orientation in irrigation pipe network design optimization. It poims out that we should enhance the research in pipe network layout optimization, pipe network optimization integrating economic efficiency and operational stability based on GA, simulated annealing algorithm, neural network and mixed algorithm; forecasting integration and assembly commercially mature applications software such as visible computer language, CAD and GIS, decision--making supporting systems and expert systems, develop taking into account users＇ information preferences and with stronger optimizing and operable capacity of pipe network design optimization soft wares would made quicker progress.