| 空间观测任务调度子Agent的底层优化模型及算法 |
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| 引用本文： | 杨博,郭淑霞,刘宁,郝俊.空间观测任务调度子Agent的底层优化模型及算法[J].西北工业大学学报,2011,29(4):554-558. |
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| 作者姓名： | 杨博 郭淑霞 刘宁 郝俊 |
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| 作者单位： | 西北工业大学无人机特种技术国防科技重点实验室,陕西西安,710072 |
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| 摘 要： | 对于采用分层的主从Agent体系结构的航天器自主运行系统而言,各个子Agent可以单独设计,这样就大大减小了设计难度并提高了程序运行效率。对于每个子Agent而言,可以专注于底层模型和算法的设计。空间观测任务调度子Agent的任务是对空间观测任务进行调度,以使在有限的资源下,可观测任务最多,观测价值最大。针对这一子Agent,建立了优化模型来完成最优调度问题的建模。优化模型的目标函数为观测任务的优先级之和最大,优先级与观测任务的价值有关。约束条件包括观测机会约束、航天器资源约束等。采用基于遗传算法的启发式算法进行求解,建立了具有可扩展性的任务调度仿真演示系统,直观的演示了调度后的任务运行情况。
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| 关 键 词： | 自主运行 空间观测 任务调度 优化 遗传算法 |
Proposing Optimization Model and Algorithm of Scheduling Sub-Agent for Space Observation Mission |
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| Yang Bo,Guo Shuxia,Liu Ning,Hao Jun.Proposing Optimization Model and Algorithm of Scheduling Sub-Agent for Space Observation Mission[J].Journal of Northwestern Polytechnical University,2011,29(4):554-558. |
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| Authors: | Yang Bo Guo Shuxia Liu Ning Hao Jun |
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| Affiliation: | National Key Laboratory of Science and Technology on UAV, Northwestern Polytechnical University,Xi′an 710072,China |
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| Abstract: | Aim.The introduction of the full paper,after some discussion,proposes the research mentioned in the title.Sections 1,2 and 3 present our research results and find that our proposal is promising.Section 1 is entitled the establishment of the mathematical model of scheduling sub-agent;its core is that we treat the constraints mathematically in a way that is different from what it was.Section 2 is entitled the scheduling method of scheduling sub-agent using genetic algorithm(GA);it points out that we adopt the... |
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| Keywords: | models optimization scheduling algorithms genetic algorithm space observation mission scheduling |
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