Genetic-based Carrier Aircrafts Landing Sequencing
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- 英文论文题名：Genetic-based Carrier Aircrafts Landing Sequencing
- 论文作者：Jun Zhou ; Ju Jiang ; Yu Caojun ; Xiao Dong
- 英文论文作者：Jun Zhou ; Ju Jiang ; Yu Caojun ; Xiao Dong ; College of Automation Engineering ; Nanjing University of Aeronautics and Astronautics
- 年：2017
- 作者机构：College of Automation Engineering,Nanjing University of Aeronautics and Astronautics;
- 英文论文关键词：Carrier aircraft ; Landing sequence ; Sequencing model ; Genetic algorithm
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（B）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
- 语种：英文
- 分类号：E926.392
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：4
- 文件大小：286k
- 原文格式：D
- 会议级别：全国
摘要
Safety and efficiency are significance for carrier aircrafts landing. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. The paper mainly focuses on the carrier aircraft landing sequencing problem. In order to reduce the delay time and cost as excepted, build the optimization mathematical model, a detailed description of the design and procedure of genetic algorithm and the corresponding algorithm design are presented. Through the simulation, compared with the previous results, the optimization of the order of the landing can effectively reduce the delay and the cost of delay, thereby improving the utilization rate of the carrier deck.
Safety and efficiency are significance for carrier aircrafts landing. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. The paper mainly focuses on the carrier aircraft landing sequencing problem. In order to reduce the delay time and cost as excepted, build the optimization mathematical model, a detailed description of the design and procedure of genetic algorithm and the corresponding algorithm design are presented. Through the simulation, compared with the previous results, the optimization of the order of the landing can effectively reduce the delay and the cost of delay, thereby improving the utilization rate of the carrier deck.
Safety and efficiency are significance for carrier aircrafts landing. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. The paper mainly focuses on the carrier aircraft landing sequencing problem. In order to reduce the delay time and cost as excepted, build the optimization mathematical model, a detailed description of the design and procedure of genetic algorithm and the corresponding algorithm design are presented. Through the simulation, compared with the previous results, the optimization of the order of the landing can effectively reduce the delay and the cost of delay, thereby improving the utilization rate of the carrier deck.
引文
[1]J.Li,H.Duan,Simplified brain storm optimization approach to control parameter optimization in F/A-18 automatic carrier landing system,Aerosp.Sci.Technol.42(2015)187–195.
[2]G.I.Rochlin,T.R.La Porte,K.H.Roberts,The self-designing high-reliability organization:aircraft carrier flight operations at sea,Naval War Coll.Rev.40(4)(1987)76–90.
[3]K.M.Adams,T.J.Meyers,The US Navy carrier strike group as a system of systems,Int.J.Syst.Syst.Eng.2(2)(2011)91–97.
[4]Wong G L.The Dynamic Planner:The sequencer,scheduler,and.runway allocator for air traffic control automation[R].Califomia NASA/TM-2000-2095864,2004
[5]G.Hancerliogullari,G.Rabadi,A.H.Al-Salem,M.Kharbeche,Greedy algorithms and metaheuristics for a multiple runway combined arrival–departure aircraft sequencing problem,J.Air Transp.Manag.32(2013)39–48.
[6]R.G.Dear,Y.S.Sherif,The dynamic scheduling of aircraft in high density terminal areas,Microelectron.Reliab.29(5)(1989)743–749.
[7]Liwei,Wangzhongshen,Application of An algorithm to aircraft sequencing in terminal area[J],Science Technology and Engineering,2007 7(11)2595-2598
[8]G.Hancerliogullari,G.Rabadi,A.H.Al Salem,M.Kharbeche,Greedy algorithms and metaheuristics for a multiple runway combined arrival–departure aircraft sequencing problem,J.Air Transp.Manag.32(2013)39–48.
[9]G.Picchi,G.Prati,Blind equalization and carrier recovery using a“stop-and-go”decision-directed algorithm,IEEE Trans.Commun.35(9)(1987)877–887.
[2]G.I.Rochlin,T.R.La Porte,K.H.Roberts,The self-designing high-reliability organization:aircraft carrier flight operations at sea,Naval War Coll.Rev.40(4)(1987)76–90.
[3]K.M.Adams,T.J.Meyers,The US Navy carrier strike group as a system of systems,Int.J.Syst.Syst.Eng.2(2)(2011)91–97.
[4]Wong G L.The Dynamic Planner:The sequencer,scheduler,and.runway allocator for air traffic control automation[R].Califomia NASA/TM-2000-2095864,2004
[5]G.Hancerliogullari,G.Rabadi,A.H.Al-Salem,M.Kharbeche,Greedy algorithms and metaheuristics for a multiple runway combined arrival–departure aircraft sequencing problem,J.Air Transp.Manag.32(2013)39–48.
[6]R.G.Dear,Y.S.Sherif,The dynamic scheduling of aircraft in high density terminal areas,Microelectron.Reliab.29(5)(1989)743–749.
[7]Liwei,Wangzhongshen,Application of An algorithm to aircraft sequencing in terminal area[J],Science Technology and Engineering,2007 7(11)2595-2598
[8]G.Hancerliogullari,G.Rabadi,A.H.Al Salem,M.Kharbeche,Greedy algorithms and metaheuristics for a multiple runway combined arrival–departure aircraft sequencing problem,J.Air Transp.Manag.32(2013)39–48.
[9]G.Picchi,G.Prati,Blind equalization and carrier recovery using a“stop-and-go”decision-directed algorithm,IEEE Trans.Commun.35(9)(1987)877–887.