配水系统是由水箱、管道、泵和管道组成的复杂网络 阀门。配电系统旨在满足消费者的需求，同时 满足性能标准，例如提供最小压力 指定的可靠性和水质。近年来，大量的研究 将形式优化程序应用于 供水网络。最成功的优化技术 应用于这个问题涉及使用遗传算法（GAs），这是一种 一类基于人工进化的算法。 他们模拟这些机制 利用群体遗传学和自然选择来开发低成本的设计 很好地适应了他们必须满足的标准。气体可以在任何时候使用 详细设计、规划或概念设计阶段。本文研究了 气体在新配水系统概念设计阶段的应用 该网络将为澳大利亚农村的农场和乡村城镇供水。这个 GA概念设计方法考虑了系统资本成本，例如 管道、泵站和储罐以及泵的预计使用寿命 运营成本。GA方法结合了一个液压网络解算器 确保满足系统的所有性能标准。包括6个参考文献、表格、图表。

Water distribution systems are complex networks of tanks, pipes, pumps and valves. Distribution systems are designed to meet consumer demands while satisfying performance criteria such as providing minimum pressures with specified reliability and water quality. In recent years, a good deal of research has gone into the application of formal optimization procedures to the design of water distribution networks. The most successful optimization techniques to be applied to this problem involve the use of genetic algorithms (GAs) which are a class of algorithms based on artificial evolution. They simulate the mechanisms of population genetics and natural selection to develop designs that are low-cost and well adapted to the criteria that they must satisfy. GAs can be applied at the detailed design, planning or concept design phase. This paper examines the application of GAs to the concept design phase for a new water distribution network that will supply water to farms and country towns in rural Australia. The GA concept design approach considers the system capital costs such as the costs of pipes, pump stations and tanks, as well as the projected lifetime pump operating costs. The GA approach incorporates a hydraulic network solver to ensure that all performance criteria for the system are met. Includes 6 references, tables, figures.