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Satellite Observing Mission Scheduling Method Based on Case-Based Learning and a Genetic Algorithm

机译：基于案例学习和遗传算法的卫星观测任务调度方法

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摘要

Satellite observation scheduling is a complex combinational optimization problem. Current researches usually adopt intelligent optimization methods to solve it, ignoring the similar historical scheduling cases. In order to improve algorithm performance, case-based learning method is introduced to the scheduling process. Considering the characteristic of the problem, a method of retrieving, matching and revising satellite observing scheduling historical cases is designed. Then, a novel algorithm based on case-based learning and a genetic algorithm is proposed. Finally, some experiments are conducted to validate the correctness and practicability of our algorithm.
机译：卫星观测调度是一个复杂的组合优化问题。当前的研究通常采用智能优化方法来解决它，而忽略了类似的历史调度情况。为了提高算法性能，在调度过程中引入了基于案例的学习方法。针对问题的特点，设计了一种检索，匹配和修正卫星观测调度历史案例的方法。然后，提出了一种基于案例学习和遗传算法的新算法。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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