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Integration schedule of agile satellite based on improved ant colony algorithm

机译:基于改进蚁群算法的敏捷卫星集成时间表

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Integration schedule of agile satellite is a highly complex combinatorial optimization problem. Pointed at the long time-window brought by the three degrees of freedom of agile satellite, combined with the dynamic store capacity in the integration schedule, a mixed integer program model is built. Then an improved ant colony algorithm is proposed to solve this problem. And local search mechanism is introduced to speed up the convergence of ant colony algorithm. Finally, multiple instances are tested. The result shows that the proposed improved ant colony algorithm is effective in solving the integration schedule of agility satellite.
机译:敏捷卫星的整合时间表是一个高度复杂的组合优化问题。指向长时间窗口由三个敏捷卫星自由度带来的,结合集成计划中的动态存储容量,建立了混合整数程序模型。然后提出了一种改进的蚁群算法来解决这个问题。介绍了本地搜索机制以加快蚁群算法的收敛。最后,测试了多个实例。结果表明,所提出的改进的蚁群算法在解决敏捷卫星的整合时间表方面是有效的。

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