Identification of the Best Booster Station Network for a Water Distribution System
Identification of the Best Booster Station Network for a Water Distribution System
复制标题
确定供水系统的最佳增压站网络
DOI：
10.1061/(asce)wr.1943-5452.0000473
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发表时间：
2015
影响因子：
3.1
通讯作者：
E. Kentel
中科院分区：
文献类型：
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作者：
M. T. Ayvaz;E. Kentel
摘要将模糊决策框架（DMF）与混合遗传算法-线性规划（GA-LP）优化方法相结合，确定供水系统的最佳升压站网络。建议的混合GA-LP模型同时优化两个相互冲突的目标，即，最小化总加氯剂量和升压站的数量。同时，残留氯浓度保持在所需的限度内。调整两个冲突目标的相对重要性，得到不同的最优解。这些最优解中的最佳选择是通过一个模糊多目标DMF。拟议的DMF允许将决策者的偏好纳入升压站网络设计。在这项研究中，三个模糊目标选择的基础上，经济，运营和健康相关的问题。最后将该方法应用于一个算例，结果表明，该方法具有较好的预测精度。
AbstractA fuzzy decision-making framework (DMF) is combined with a hybrid genetic algorithm–linear programming (GA-LP) optimization approach to determine the best booster station network for a water distribution system. The proposed hybrid GA-LP model simultaneously optimizes two conflicting objectives; namely, minimization of total chlorine injection dosage and the number of booster stations. At the same time, residual chlorine concentrations are kept within desired limits. Adjustment of the relative importance of two conflicting objectives results in different optimal solutions. Selection of the best alternative among these optimal solutions is performed through a fuzzy multiobjective DMF. The proposed DMF allows incorporation of the decision makers’ preferences into the booster station network design. In this study, three fuzzy objectives are selected based on economic, operational, and health-related concerns. The hybrid GA-LP model is applied to a case study, and results show that the proposed method...