本文解释了如何使用遗传算法（GA）优化来辅助水处理 用于准备各种可能的紧急事件。遗传算法优化使规划者能够 确定系统继续运行所需的最合适、成本最低的系统改进 以适当的服务水平运作。通过使用遗传算法优化顺序应用不同的 在紧急情况下，采用一种分配模型，可以有效地提高供水设施的冗余度和可靠性 配电系统的可靠性，以尽量减少正常或极端事件的影响 扰乱了供水。包括5个参考文献、图表。

This paper explains how genetic algorithm (GA) optimization can be used to assist a water utility in preparing for a wide range of possible emergency events. GA optimization enables planners to identify the most appropriate and least-cost system improvements needed to allow the system to continue to function at an adequate level of service. By using GA optimization to sequentially apply different emergency scenarios to a distribution model, the water utility can effectively enhance the redundancy and reliability of its distribution system in order to minimize the impact of a normal or extreme event that disrupts the water supply. Includes 5 references, figures.