期刊文献+

基于模拟退火的空域扇区优化方法研究 被引量:2

ON AIRSPACE SECTOR OPTIMISATION METHOD BASED ON SIMULATED ANNEALING
下载PDF
导出
摘要 为了搜索空域扇区优化中的满意解,结合计算几何和模拟退火算法对空域扇区优化问题进行了研究。根据管制空域结构和交通流量空间分布,建立空域扇区分割的模糊多目标函数和约束条件函数,提出划设空域的二分策略,并结合模拟退火算法对扇区优化划设问题进行求解。实例分析表明,结合二分策略的模拟退火方法可获得满意解,扇区划设多目标优化的总体满意度比仅考虑均衡扇区平均流量时提高了2.1%。 In order to find the satisfaction solution in airspace sector optimisation, we carry out the studies on this issue in conjunction with computational geometry and simulated annealing algorithm. According to the configuration of controlled airspace and the spatial distribution of air traffic flow, we establish the fuzzy multi-objective function and constraint condition function for airspace sector partition, and propose the hi-partitioning strategy for airspace sectorisation, and solve the problem of optimising the airspace sectorisation by combining simulated annealingalgorithm. It is shown by the example analysis that the simulated annealing method combining with hi-partitioning strategy can work out the satisfaction solution, the overall satisfaction of multi-objective optimisation of sector planning and setting improves by 2.1% compared with only taking the balance of airspace sector' s average traffic flow into consideration.
出处 《计算机应用与软件》 CSCD 北大核心 2014年第9期244-248,共5页 Computer Applications and Software
基金 国家科技支撑计划项目(2011BAH24B08) 中央高校基本科研业务费专项资金项目(ZXH2011A002 ZXH2012C005)
关键词 空中交通管理 扇区优化 模拟退火 二分策略 模糊多目标优化 Air traffic management Sector optimisation Simulated annealing Bi-partitioning strategy Fuzzy multi-objective optimisation
  • 相关文献

参考文献20

  • 1Zelinski S.A comparison of algorithm generated sectorizations[J].AirTraffic Control Quarterly,2010,18(3):279-291.
  • 2Brinton C R,Pledgie S.Airspace partitioning using flight clustering andcomputational geometry[C]//Proceedings of 27 th Digital AvionicsSystems Conference.St.Paul,MN:IEEE Computer Society Press,2008:3.B.3-1-3.B.3-10.
  • 3Xue M.Airspace sector redesign based on voronoi diagrams[J]. Jour-nal of Airspace Computing,Information,and Communication,2009,6(12):624-634.
  • 4韩松臣,张明.依据管制工作负荷的扇区优化新方法[J].南京航空航天大学学报,2004,36(1):91-96. 被引量:24
  • 5张明,韩松臣.依据管制员工作负荷的扇区优化方法[J].交通运输工程学报,2005,5(4):86-89. 被引量:11
  • 6张明.管制扇区的最优划分方法研究[J].南京航空航天大学学报,2004,36(3):308-312. 被引量:7
  • 7韩松臣,张明,黄卫芳.管制扇区优化划分的方法及计算机实现技术[J].交通运输工程学报,2003,3(1):101-104. 被引量:15
  • 8Yousefi A,Khorrami B,Hoffman R,et al.Enhanced dynamic airspaceconfiguration algorithms and concepts[R].Chantilly:Metron AviationInc.,2007.
  • 9Wei J,Hwang I,Hail W D.Mathematical programming based algorithmfor dynamic terminal airspace configuration[C]//Proceedings of 12thAIAA Aviation Technology,Integration,and Operations Conference and14th AIAA/ISSM.Indianapolis:American Institute of Aeronautics andAstronautics,AIAA,2012:2012-5541,1-15.
  • 10Li J,Wang T,Savai M,et al.Graph-based algorithm for dynamic air-space configuration[J].Journal of Guidance,Control,and Dynamics,2010,33(4):1082-1094.

二级参考文献100

  • 1高庆狮.Zadeh模糊集合理论存在问题证明及其改进——一个满足全部经典集合公式的C-模糊集合系统[J].大连理工大学学报,2005,45(5):772-780. 被引量:13
  • 2高庆狮,高小宇,胡月.概率论基本部分与模糊集合理论的统一定义[J].大连理工大学学报,2006,46(1):141-150. 被引量:15
  • 3ICAO.[R].北京:中国民航总局,1995..
  • 4何光勤 朱代武.[R].广汉:中国民用航空飞行学院,1993..
  • 5徐贵生.[R].天津:中民民用航空飞行器学院,1993..
  • 6Mogford R H, Guttman J A, Morrow S L, et al. The complexity construct in air traffic control: a review and synthesis of the literature[R]. DOT/FAA/CT-TN95/22, 1995.
  • 7Edmons B. Syntactic measures of complexity[D]. Manchester: University of Manchester, 1999.
  • 8Histon J M, Hansman R J, Aigoin G, et al. Introducing structural considerations into complexity metrics[J]. Air Traffic Control Quarterly, 2002, 10(2) : 115-130.
  • 9Histon J M, Hansman R J. The impact of structure on cognitive complexity in air traffic control[R]. MIT International Center for Air Transportation Rep. No. ICAT- 2002 4, 2002.
  • 10Cilliers P, Complexity and postmodernism [ M]. New York: Routledge, 1998:8- 10.

共引文献324

同被引文献6

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部