20年来敏捷对地观测卫星调度：公式、方法和未来方向
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions
摘要：
具有先进姿态机动能力的敏捷卫星是新一代对地观测卫星。随着卫星技术的不断进步和发射成本的不断降低，敏捷卫星发射系统（AEOSs）得到了迅速发展。为了有效地利用日益增多的在轨AEOS，在满足各种复杂运行约束条件的同时，以观测收益最大化为目标的AEOSSP调度问题在过去20年中受到了广泛的关注。因此，本文的目标是总结目前的研究AEOSSP，确定主要成就和突出潜在的未来研究方向。为此，首先介绍了具有运行约束的AEOSSP的一般定义，然后介绍了AEOSSP的三种典型变体，包括观测收益、多目标函数和自治模型的不同定义。从1997年到2019年的详细文献综述，然后按照四种不同的解决方法，即，精确方法、启发式、元启发式和机器学习。最后，我们讨论了一些值得在未来追求的主题。
英文摘要：
Agile satellites with advanced attitude maneuvering capability are the new generation of Earth observation satellites (EOSs). The continuous improvement in satellite technology and decrease in launch cost have boosted the development of agile EOSs (AEOSs). To efficiently employ the increasing orbiting AEOSs, the AEOS scheduling problem (AEOSSP) aiming to maximize the entire observation profit while satisfying all complex operational constraints, has received much attention over the past 20 years. The objectives of this paper are thus to summarize current research on AEOSSP, identify main accomplishments and highlight potential future research directions. To this end, general definitions of AEOSSP with operational constraints are described initially, followed by its three typical variations including different definitions of observation profit, multi-objective function and autonomous model. A detailed literature review from 1997 up to 2019 is then presented in line with four different solution methods, i.e., exact method, heuristic, metaheuristic and machine learning. Finally, we discuss a number of topics worth pursuing in the future.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
