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首页> 外文期刊>Journal of Water Resources Planning and Management >Multiobjective Optimization for Least Cost Design and Resiliency of Water Distribution Systems
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Multiobjective Optimization for Least Cost Design and Resiliency of Water Distribution Systems

机译：供水系统的最低成本设计和弹性的多目标优化

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The multiobjective optimization model described in this study is aimed at exploring the tradeoff between cost and resiliency for water distribution systems optimal design. Many have dealt previously with minimizing cost where reliability was quantified as a constraint. Fewer considered both cost and reliability as objectives. This work suggests a methodology for least cost versus reliability (quantified as resiliency) optimal design, introducing the following contributions: (1) a genetic algorithm multiobjective formulation integrating a previous theoretical result of a possible maximum of two adjacent discrete pipe diameters for a single pipe; (2) comparable results to previous best least-cost design solutions for the two-looped and Hanoi networks; (3) a real life-sized example application analysis for pipes reinforcement; and (4) an interpretation of resiliency through its comparison to two explicit reliability measures involving demands increase and pipes failure, reconfirming that resiliency improvement does not necessarily imply a reliability increase. Three example applications are explored through base runs and sensitivity analyses for demonstrating the study findings.
机译：本研究中描述的多目标优化模型旨在探索配水系统优化设计的成本与弹性之间的权衡。在可靠性被量化为约束的情况下，许多公司以前都致力于将成本降至最低。很少将成本和可靠性视为目标。这项工作提出了一种最小成本与可靠性（量化为弹性）最优设计的方法，并提出了以下贡献：（1）一种遗传算法多目标公式，该公式整合了先前理论结果（单个管可能具有两个相邻离散管径的最大值） ; （2）与以前针对两回路和河内网络的最佳最低成本设计解决方案可比的结果； （3）真实大小的管道加固实例应用分析； （4）通过将弹性与两个涉及需求增加和管道故障的显着可靠性度量进行比较来解释弹性，从而重申弹性的提高并不一定意味着可靠性的提高。通过基本运行和敏感性分析探索了三个示例应用程序，以证明研究结果。

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