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Astronomical observation tasks short-term scheduling using PDDS algorithm

机译:使用PDDS算法的天文观测任务短期调度

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A concept of the ground-based optical astronomical observation efficiency is considered in this paper. We believe that a telescope efficiency can be increased by properly allocating observation tasks with respect to the current environment state and probability to obtain the data with required properties under the current conditions. An online observations scheduling is assumed to be an essential part for raising the efficiency. The short-term online scheduling is treated as the discrete optimisation problems which are stated using several abstraction levels. The optimisation problems are solved using the parallel depth bounded discrepancy search (PDDS) algorithm by Moisan et al. (2014). Some aspects of the algorithm performance are discussed. The presented algorithm is a core of open-source chelyabinsk C++ library which is planned to be used at 2.5 m telescope of Sternberg Astronomical Institute of Lomonosov Moscow State University. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文考虑了地基光学天文观测效率的概念。我们认为,通过针对当前环境状态和概率来适当地分配观察任务,并获得在当前条件下具有所需属性的数据的概率,可以提高望远镜的效率。在线观测计划被认为是提高效率的重要组成部分。短期在线调度被视为离散优化问题,使用多个抽象级别对其进行了说明。使用Moisan等人的平行深度有界差异搜索(PDDS)算法解决了优化问题。 (2014)。讨论了算法性能的某些方面。提出的算法是开源车里雅宾斯克C ++库的核心,该库计划在莫斯科国立罗蒙诺索夫市斯特恩伯格天文研究所的2.5 m望远镜上使用。 (C)2016 Elsevier B.V.保留所有权利。

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