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Planning Sensors with Cost-Restricted Subprocess Calls: A Rare-Event Simulation Approach

机译:规划具有成本受限子流程调用的传感器:一种稀有事件模拟方法

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This paper deals with optimal sensor planning in the context of an observation mission. In order to accomplish this mission, the observer may request some intelligence teams for preliminary prior information. Since team requests are expensive and resources are bound, the entire process results in a two-level optimization, the first level being an experiment devoted to enhance the criterion modelling. The paper proposes a solve of this problem by rare-event simulation, and a mission scenario is addressed.
机译:本文介绍了在观察任务中的最佳传感器计划。为了完成这项任务,观察员可以要求一些情报小组提供初步的先验信息。由于团队的要求昂贵且资源有限,因此整个过程导致两级优化,第一级是专门用于增强标准建模的实验。本文提出了一种通过稀有事件仿真解决此问题的方法,并提出了一种任务场景。

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