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A New Optimization Approach for the Least-Cost Design of Water Distribution Networks: Improved Crow Search Algorithm

机译:一种新的水分配网络成本设计的新优化方法:改进了乌鸦搜索算法

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Due to large number of decision variables and several hydraulic constraints, optimal design of water distribution networks (WDNs) is considered as one of the most complex optimization problems. This paper introduces and applies a new optimization approach, improved crow search algorithm (ICSA), based on the improvement of original crow search algorithm (CSA) by adding an operator parameter. Both approaches (i.e., CSA and ICSA) were applied to two case studies (i.e., Two-Reservoir and Khorramshahr City networks) by linking the hydraulic simulator (e.g., EPANET 2.0). The proposed ICSA saved the total construction cost by 2.16% and 1.79% for the Two-Reservoir and Khorramshahr City networks compared to the original CSA based on optimal network design, respectively. Results revealed that the proposed ICSA provided outstanding design for the both WDNs compared to previous studies and original CSA.
机译:由于大量的决策变量和多个液压约束,水分配网络(WDN)的最佳设计被认为是最复杂的优化问题之一。本文介绍并应用了一种新的优化方法,通过添加操作员参数,改进了原始乌鸦搜索算法(CSA)的乌克搜索算法(ICSA)。通过将液压模拟器(例如,EPANET 2.0)连接,将两种方法(即,CSA和ICSA)应用于两种案例研究(即二水库和Khorramshahr城市网络)。与原始CSA的基于最优网络设计,拟议的ICSA为两水库和Khorramshahr城市网络保存了2.16%和1.79%的总建筑成本2.16%和1.79%。结果表明,与先前的研究和原始CSA相比,该建议的ICSA为WDN提供了卓越的设计。

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