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Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary Algorithms

机译:使用进化算法的水分配网络中泄漏位置的最优传感器布置

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In this paper, a sensor placement approach to improve the leak location in water distribution networks is proposed when the leak signature space (LSS) method is used. The sensor placement problem is formulated as an integer optimization problem where the criterion to be minimized is the number of overlapping signature domains computed from the original LSS representation. First, a semi-exhaustive search approach based on a lazy evaluation mechanism ensures optimal placement in the case of low complexity scenarios. For more complex cases, a stochastic optimization process is proposed, based on either the genetic algorithms (GAs) or particle swarm optimization (PSO). Experiments on two different networks are used to evaluate the performance of the resolution methods, as well as the efficiency achieved in the leak location when using the sensor placement results.
机译:在本文中,提出了一种使用泄漏特征空间(LSS)方法改善水分配网络中泄漏位置的传感器布置方法。传感器放置问题公式化为整数优化问题,其中要最小化的标准是根据原始LSS表示计算出的重叠签名域的数量。首先,基于惰性评估机制的半穷举搜索方法可确保在低复杂度场景下的最佳放置。对于更复杂的情况,提出了一种基于遗传算法(GA)或粒子群优化(PSO)的随机优化过程。在两个不同的网络上进行的实验用于评估分辨率方法的性能,以及使用传感器放置结果时在泄漏位置实现的效率。

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