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Multi-satellite data downlink resource scheduling algorithm for incremental observation tasks based on evolutionary computation

机译:基于进化计算的增量观测任务多卫星数据下行资源调度算法

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摘要

Multi-satellite data downlink resource scheduling is a complex combinatorial optimization problem. Current researches cannot handle the problem effectively when the satellite observation tasks increase over time. Considering the characteristic of the problem, a data downlink resource scheduling model adapting to observation task increments is established and a novel algorithm based on evolutionary computation is proposed. Finally, some experiments are conducted to validate the correctness and practicability of our algorithm.
机译:多卫星数据下行资源调度是一个复杂的组合优化问题。当卫星观测任务随时间增加时,当前的研究不能有效地解决该问题。针对该问题的特点,建立了适合观测任务增量的数据下行资源调度模型,提出了一种基于进化计算的新算法。最后,进行了一些实验以验证我们算法的正确性和实用性。

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