本powerpoint演示文稿首先提供问题陈述，包括: 渥太华市要求更新供水系统 配电系统总体规划，以便 满足客户对服务水平的期望 规划期（2031年）具有成本效益 系统扩展计划。研究目标是: 找到一个成本最低的系统扩展计划 在足够的压力下满足未来的需求， 满足可靠性标准，以及 避免水质问题； 定义系统运行策略； 制定基础设施分阶段计划；和 为将来的更新开发决策支持工具。方法包括: 使用遗传算法（GA）技术和 用于测试各种系统的液压模型 扩张替代方案； 通过一个 涉及“GA运行”和“离线”的迭代过程 可靠性和水龄改进；和 可靠性和水龄结果 这些改进进一步限制了 GA通过减少可用容量的数量 选择。课程包括:遗传算法简介； 优化模型描述； 渥太华市供水系统； 开发替代品；和 后果

This powerpoint presentation begins by providing a problem statement that includes: the City of Ottawa required an update to the Water Distribution System Master Plan in order to meet level of service expectations over the planning period (2031) with a cost-effective system expansion plan. Study objectives were to: find a least cost system expansion plan that will meet future demands at adequate pressure, meet reliability criteria, and avoid water quality issues; define system operations strategy; develop infrastructure phasing plan; and, develop decision support tool for future updates. The approach involved: using Genetic Algorithm (GA) technology and a hydraulic model to test a wide range of system expansion alternatives; converging on an optimal solution through an iterative process involving "GA runs" and "offline" reliability and water age improvements; and, results of reliability and water age improvements impose further constraints on the GA by reducing number of available capacity alternatives. Topics covered include: introduction to Genetic Algorithms; description of optimization model; City of Ottawa Water Distribution System; development of alternatives; and, results.