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The Development of the Intellectual System Optimization Search Operations

机译:智力系统优化搜索操作的发展

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摘要

In the paper a Bayesian method for conduction of a rescue operation for search of stationary and moving target is described. Using Monte-Carlo simulation, the method is compared to naive search method that does not take into account the information obtained during the search efforts. Since the rescue operation often involve considerable expense, the Bayesian approach can significantly reduce the costs of the operation.
机译:在本文中,描述了一种用于传导用于搜索静止和移动目标的救援操作的贝叶斯方法。使用Monte-Carlo仿真,将该方法与Naive搜索方法进行比较,该方法不考虑在搜索工作期间获得的信息。由于救援操作往往涉及相当大的费用,贝叶斯方法可以显着降低运行的成本。

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