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基于组合优化的停机位分配模型研究 被引量:4

Study of Model Based on Combinatorial Optimization for Aircraft Stands Assignment
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摘要 停机位分配(ASA)是机场生产调度的核心,也是一类典型的组合优化问题。针对以往研究在优化建模方面存在的问题,较全面地考察了实际ASA过程的约束条件,以旅客在机场所移动距离总和最小化作为目标函数,建立了ASA的整数规划模型,并对该模型的求解和验证技术进行了讨论。 As the core of airport operation,aircraft stands assignment (ASA) is a typical kind of combinatorial optimization. In view of the weakness of the models provided by the past researchers, this paper proposes an Integer-Programming-based optimization model for ASA by looking through the constrains of actual ASA process and making the minimization of total walking distances of all passengers in the airport as the objective. Finally, the technologies relating to the model resolving and model validating are discussed.
作者 常钢 魏生民
出处 《中国民航学院学报》 2006年第3期28-31,共4页 Journal of Civil Aviation University of China
基金 航空科学基金(05J530702)
关键词 机场生产调度 停机位分配 优化模型 airport operation scheduling aircraft stands assignment optimization model
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参考文献4

  • 1Bolat A.Procedures for providing robust gate assignments for arriving aircrafts[J].European Journal of Operational Research,2000,120(1):63-80.
  • 2Jiefeng Xu,Glenn Bailey,The Airport Gate Assignment Problem:Mathematical Model and a Tabu Search Algorithm[C]//Proceedings of the 34th Hawaii International Conference on System Sciences,2001.
  • 3田晨,熊桂喜.基于遗传算法的机场机位分配策略[J].计算机工程,2005,31(3):186-188. 被引量:22
  • 4吴旭光,王新民.计算机仿真技术与应用[M].西安:西北工业大学出版社,2002.

二级参考文献6

  • 1Ahmet B. Procedures for Providing Robust Gate Assignments for Arriving Aircrafts. European Journal of Operational Research, 2000,120(1 ): 63-80
  • 2Yan Shangyao, Huo Cheunming. Optimization of Multiple Objective Gate Assignments. Transportation Research Part A: Policy and Practice,2001, 35(5): 413-432
  • 3Dozier G, Bowen J, Homaifar A A .Solving Constraint Satisfaction Problems Using Hybrid Evolutionary Search. Evolutionary Computation, IEEE Transactions on Evolutionary Computation, 1998,2(1 ):23
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  • 6Craenen B G W, Eiben A E, Marchiori E. Solving Constraint Satisfaction Problems with Heuristic-based Evolutionary Algorithms.Evolutionary Computation, Proceedings of the 2000 Congress, 2000,2:1571 -1577

共引文献23

同被引文献29

引证文献4

二级引证文献46

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