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Packing programming of space station spacewalk events based on bin packing theory and differential evolution algorithm

机译:基于bin装箱理论和差分进化算法的空间站太空行走事件装箱程序

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During orbital operations of the space station, several test missions require astronauts to conduct extravehicular activities. Because of the limitations of man-hours and resources such as extravehicular spacesuits, the overall programming of spacewalk events is a critical issue to address in operation mission planning for the space station. Based on the theory of bin packing, this paper establishes a new type of programming optimization model for spacewalk events and proposes optimization strategies based on the differential evolution (DE) algorithm. The optimization results from a planning test case that consists of 41 spacewalk events reveal a modified DE algorithm capable of obtaining the optimal programming scenario.
机译:在空间站的轨道运行期间,几次测试任务需要宇航员进行舱外活动。由于工时和诸如舱外太空服等资源的限制,太空行走事件的整体编程是空间站操作任务计划中要解决的关键问题。基于bin装箱理论,建立了一种新型的太空行走事件程序优化模型,并提出了基于差分进化算法的优化策略。一个计划测试用例(由41个太空行走事件组成)的优化结果揭示了一种改进的DE算法,该算法能够获得最佳的编程方案。

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