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Optimal Search on Water Pollution Accident Source in DiscreteSpaces

机译:离散空间水污染事故源的优化搜索

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When the pollution accidents take place in the river basin, it is very important and necessary to find out the accidental sources of pollution so that effective measures can be taken to reduce the pollution. But because of the lack of monitoring efforts and the secluded source, very little about the accidental sources of pollution is known to searcher and it is very hard to find the accidental sources accurately and quickly. Based on the theory of optimal search, an optimal search model of detecting the water pollution accident source with discrete efforts is proposed. The optimal solution to the situation is found and the expected time to find the targets can be computed before the beginning of search.. Results have shown that the plans can not only maximize the probability of detecting the water pollution accident source subject to a fixed time but also minimize the expected cost of finding the target.
机译:在流域发生污染事故时,找出偶然的污染源是非常重要和必要的,以便采取有效措施减少污染。但是由于缺乏监测工作和隐蔽的污染源,搜索者对偶然的污染源知之甚少,而且很难准确,迅速地找到偶然的污染源。基于最优搜索理论,提出了一种不费吹灰之力地检测水污染事故源的最优搜索模型。找到了针对这种情况的最佳解决方案,并可以在开始搜索之前计算找到目标的预期时间。而且还能最大程度地减少寻找目标的预期成本。

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