A novel problem called satellite downlink scheduling problem (SDSP) under breakpoint resume mode (SDSP-BRM) is studied in our paper. Compared to the traditional SDSP where an imaging data has to be completely downloaded at one time, SDSP-BRM allows the data of an imaging data be broken into a number of pieces which can be downloaded in different playback windows. By analyzing the characteristics of SDSP-BRM, we first propose a mixed integer programming model for its formulation and then prove the NP-hardness of SDSP-BRM. To solve the problem, we design a simple and effective heuristic algorithm (SEHA) where a number of problem-tailored move operators are proposed for local searching. Numerical results on a set of well-designed scenarios demonstrate the efficiency of the proposed algorithm in comparison to the general purpose CPLEX solver. We conduct additional experiments to shed light on the impact of the segmental strategy on the overall performance of the proposed SEHA.
翻译:在我们的论文中研究了一个在断点恢复模式(SDSP-BRM)下称为卫星下行列表问题的新问题。与传统的SDSP问题相比,SDSP-BRM允许将成象数据的数据分解成若干片段,可以在不同播放窗口下载。通过分析SDSP-BRM的特性,我们首先提出一个混合整数编程模型来拟订,然后证明SDSP-BRM的硬性。为了解决问题,我们设计了一个简单而有效的超速算法(SEHA),其中建议在当地搜索一些按问题设计的移动操作器。一套设计良好的情景的数值结果表明,与CPLEX一般用途解算法相比,拟议的算法的效率。我们进行了更多的实验,以说明分段战略对拟议的SEHA总体性效果的影响。