期刊文献+

进化算法在终端区飞机动态排序中的应用 被引量:4

Application of Evolution Algorithm to Aircraft Sequencing in Terminal Area
下载PDF
导出
摘要 讨论了终端区飞机动态排序问题,并利用进化算法建立了终端区航班排序的数学模型.根据飞机尾流间隔要求,利用生物进化理论,找到更合理的航班着陆队列,减小了航班的总延误成本.仿真结果表明,航班总延误成本的优化结果是令人满意的,该算法在终端区飞机动态排序问题中的应用是可行的. The dynamic aircraft sequencing problem in the terminal area was discussed and a mathematical model of aircraft sequencing in the terminal area was established.According to the aircraft wake separation,the algorithm use biological evolution theory to find a more reasonable sequence to decrease the cost of total aircraft delay.Simulation results indicate that the result of total aircraft delay cost optimization is satisfactory and application of the algorithm to the aircraft sequencing in terminal area is feasible.
出处 《华东交通大学学报》 2006年第4期144-148,共5页 Journal of East China Jiaotong University
关键词 空中交通管制 终端区 飞机排序 进化算法 air traffic control terminal area aircraft sequencing evolution algorithm
  • 相关文献

参考文献3

  • 1杨海军,李敏强.进化算法中基于排序选择下的准确模式理论[J].系统工程学报,2004,19(1):79-84. 被引量:2
  • 2[3]V.H.L.Cheng,L.S.Crawford,and P.K.Menon.Air Traffic Control Using Genetic Search Techniques[C].Optimal Synthesis Inc.Palo Alto,California,1999:22-27
  • 3[4]Delahaye Daniel,Sofiane Oussedik,Puechmorel Stephane.Airspace Congestion Smoothing by Multi-objective Genetic Algorithm[C].ACM Symposium on Applied Computing,2005:907-912

共引文献1

同被引文献30

  • 1张兆宁,王莉莉.基于流量和滑动窗的空中交通管理动态排序算法[J].交通运输工程与信息学报,2004,2(3):22-25. 被引量:20
  • 2蔡之华,彭锦国,高伟,魏巍,康立山.一种改进的求解TSP问题的演化算法[J].计算机学报,2005,28(5):823-828. 被引量:60
  • 3Hu Xiao-Bing,Chen Wen-Hua.Receding horizon control for aircraft arrival sequencing and scheduling [J]. IEEE Transactions on Intelligent Transportation Systems,2005,6:189-197.
  • 4Walid Tfaili,Patrick Siarry.A new charged ant colony algorithm for continuous dynamic optimization [J].Applied Mathematics and Computation,2008,197:604-613.
  • 5Hu Xiao-Bing,Ezequiel Di Paolo.An efficient genetic algorithm with uniform crossover for air traffic control [J].Computers & Operations Research,2009,36:245-259.
  • 6Hu Xiao-Bing,Chen Wen-Hua.Genetic algorithm based on receding horizon control for arrival sequencl'ng and scheduling [J]. Engineering Applications of Artificial Intelligence, 2005,18: 633-642.
  • 7Hu Xiao-Bing, Ezequiel Di Paolo. Binary-representation-based genetic algorithm for aircraft arrival sequencing and scheduling [J]. IEEE Transactions on Intelligent Transportation Systems, 2008,9:301-310.
  • 8顾奖海.进近雷达管制中航空器排序的研究.中国民用航空,2003,11:17-22.
  • 9Beasley J E, Krishnamoorthy M,Sharaiha Y M,et al. Scheduling Aircraft Landing -- the Static Case [ J ]. Transportation Science,2000,34 (2) : 180 - 197.
  • 10Gregory C C, Erzberger H, Neuman F. Fast- time Study of Aircraft- influenced Arrival Sequencing and Scheduling[ J]. Journal of Guidance, Control and Dynamics, 2000,23 ( 3 ) : 526 - 531.

引证文献4

二级引证文献14

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