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Adaptive Parameterized Search Algorithm

机译:自适应参数化搜索算法

摘要

A method is disclosed for conducting a search in which measurements of a time-varying property are made and updated during the search, and in which the measurements might be uncertain. In accordance with the illustrative embodiment, one or more search algorithm parameters (e.g., the maximum branching factor of a search tree, a depth cutoff for a search tree, a time cutoff, a threshold, etc.) are adjusted dynamically during the search based on at least one of: the degree of uncertainty of the measurements, the variability of measurements over time (e.g., standard deviation, etc.), and the fraction of members whose measurement is better than a threshold. In addition, the illustrative embodiment enables the search space to be pruned based on these criteria.
机译:公开了一种用于进行搜索的方法,其中在搜索过程中进行时变特性的测量并进行更新,并且其中的测量可能不确定。根据说明性实施例,在基于搜索的过程中动态地调整一个或多个搜索算法参数(例如,搜索树的最大分支因子,搜索树的深度截止,时间截止,阈值等)。至少包括以下一项:测量的不确定性程度,测量随时间的变化性(例如,标准偏差等)以及测量结果优于阈值的成员所占的比例。另外,说明性实施例使得能够基于这些标准来修剪搜索空间。

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