首页> 外文期刊>Proceedings of the Workshop on Principles of Advanced and Distributed Simulation >DESIGNING OPTIMAL WATER QUALITY MONITORING NETWORK FOR RIVER SYSTEMS AND APPLICATION TO A HYPOTHETICAL RIVER
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DESIGNING OPTIMAL WATER QUALITY MONITORING NETWORK FOR RIVER SYSTEMS AND APPLICATION TO A HYPOTHETICAL RIVER

机译:河流系统最优水质监测网络的设计及其在虚拟河流中的应用

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摘要

The problem of designing a water quality monitoring network for river systems is to find the optimal location of a finite number of monitoring devices that minimizes the expected detection time of a contaminant spill event with good detection reliability. We formulate this problem as an optimization problem with a stochastic constraint on a secondary performance measure where the primary performance measure is the expected detection time and the secondary performance measure is detection reliability. We propose a new objective function that integrates the stochastic constraint into the original objective function in a way that existing Optimization via Simulation (OvS) algorithms originally developed for an optimization problem without any stochastic constraint can be applicable to our problem. The performance of an OvS algorithm, namely the nested partitions method, with the new objective is tested on a hypothetical river.
机译:设计用于河流系统的水质监测网络的问题是要找到有限数量的监测设备的最佳位置,以使污染物溢出事件的预期检测时间最小化,并具有良好的检测可靠性。我们将此问题表述为对次要绩效指标具有随机约束的优化问题,其中主要绩效指标为预期检测时间,而次要绩效指标为检测可靠性。我们提出了一种新的目标函数,该函数将随机约束集成到原始目标函数中,这种方式可以使最初为无任何随机约束的优化问题而开发的现有的通过仿真(OvS)算法进行优化可以适用于我们的问题。在一个假设的河流上测试了具有新目标的OvS算法(即嵌套分区方法)的性能。

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