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基于拉格朗日松弛的航天测控调度上界求解算法 被引量:2

TT&C Scheduling Upper Bound Solution Algorithm Based on Lagrangian Relaxation
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摘要 通过分析航天测控调度问题的测控需求,建立了航天测控调度0-1整数规划模型,运用拉格朗日松弛方法对模型中的设备约束和卫星约束进行了松弛,运用次梯度优化算法求得了拉格朗日对偶问题的上界。最后,通过对两个场景的试验分析,证明了运用次梯度优化算法求得的上界的有效性。 The TI&C demand of TT&C Scheduling problem was analyzed and a model of TT&C Scheduling 0-1 integer programming was constructed. The model's facility constraints and satellite constraints were relaxed by lagrangian relaxation method, and an upper bound of lagrangian dual problem by subgradiem optimization algorithm was obtained. Finally, two examples were tested. The results demonstrate the validity of upper bound obtained by subgmdient optimization algorithm.
作者 康宁 武小悦
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2011年第3期38-43,共6页 Journal of National University of Defense Technology
基金 国家省部资助项目
关键词 航天测控调度 拉格朗日松弛 拉格朗日对偶 次梯度优化 TT&C scheduling lagrangian relaxation lagrangian dual subgradient optimization
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  • 1刘洋,贺仁杰,谭跃进.基于约束满足的多卫星调度模型研究[J].系统工程与电子技术,2004,26(8):1076-1079. 被引量:21
  • 2金光.卫星地面站测控资源调度CSP模型[J].系统工程与电子技术,2007,29(7):1117-1120. 被引量:21
  • 3Monte Z, Eugene D, Brian D, et al. Scheduling and Rescheduling with Iterative Repair[J]. IEEE Transations on System, Man and Cybernetics, 1993, 23(6) : 1588 - 1596.
  • 4Barbulescu L, Howe A, Whitley D. AFSCN Scheduling: How the Problem and Solution Have Evolved[ J ]. Mathemadcal ConlputerModeling, 2006, 43(9 - 10) :1023 - 1037.
  • 5邢立宁,陈英武.基于混合蚁群优化的卫星地面站系统任务调度方法[J].自动化学报,2008,34(4):414-418. 被引量:23
  • 6靳肖闪,李军,刘湘辉,郭玉华,景宁.基于拉格朗日松弛与最大分支算法的卫星成像调度算法[J].宇航学报,2008,29(2):694-699. 被引量:19
  • 7Fisher M L. The The Belaxation Method d Solving Integer Programming Problems[J]. Management Science, 1981, 27(1) : 1 - 18.
  • 8Hsiao J Y. An Effcient Algorithm for Finding a Maximum Weight 2-independent Set m Interval Graphs[J]. Infonnalion Processing Letters, 1992.
  • 9Marinelli F, Nocella S, Rossi F, et al. A Lagnmgian Heuristic for Satellite Range Scheduling with Resource Constraints [ R ]. www. optimizationonline, org, 2005.
  • 10Bell C. Scheduling Deep Space Network Data Tranmdssioas: A d Artifical Intelligmce 1993: Knowledge-tmsed Systeme in Areospace and Industry. Pacific Grove, CA, USA. 1993:330 - 340.

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