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终端区航班排序的遗传算法 被引量:2

Genetic Algorithm of Aircraft Sequencing in Terminal Area
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摘要 为提高空域利用率和航班调度效率,建立了以航班延误总时间为目标函数的规划模型,利用遗传算法中的交叉和变异运算,针对多跑道航班排序问题设计了编码方式和遗传算子,进行了仿真计算,并与先到先服务算法进行了对比研究。同时,结合空中交通管制中的实际情况,引入了一些约束条件。以三跑道为例,仿真结果表明:与先到先服务算法相比,设计的遗传算法大大降低了时间延误,明显提高了航班调度效率。 In order to meet the needs of air transport development,improve the efficiency of airspace utilization and flight scheduling to reduce flight delays,an object function with total delay is developed.Using of genetic algorithm(GA) crossover and mutation operators,the coding and genetic operators for the sequence problem of multi-runways landing aircraft are designed,and its computational result is compared with the one computed by first-come-first-serve(FCFS) algorithm.At the same time,combined with the air traffic control(ATC) in actual situation,a number of constraints are introduced.Taking three runways as an example,the simulation results show that the total delay is greatly reduced and the efficiency is obvious improved compared with FCFS algorithm.
出处 《测控技术》 CSCD 北大核心 2010年第7期91-93,101,共4页 Measurement & Control Technology
关键词 空中交通管制 航班排序和调度 遗传算法 多跑道 air traffic control aircraft sequencing and scheduling genetic algorithm multi-runway
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  • 1徐肖豪,姚源.遗传算法在终端区飞机排序中的应用[J].交通运输工程学报,2004,4(3):121-126. 被引量:43
  • 2李晓磊,路飞,田国会,钱积新.组合优化问题的人工鱼群算法应用[J].山东大学学报(工学版),2004,34(5):64-67. 被引量:163
  • 3李志荣,张兆宁.基于蚁群算法的航班着陆排序[J].交通运输工程与信息学报,2006,4(2):66-69. 被引量:25
  • 4孙宏,张翔,徐杰.应用模拟退火算法求解飞机调度问题[J].飞行力学,2006,24(4):84-87. 被引量:12
  • 5[1]L.Bianco,P.Dell'Olmo, Stefano Giordani.Scheduling Models and Simulation in Air Traffic Manage, 2000
  • 6[2]Ignaccolo , M, Inturri G, Modelli Analitici e di Simulazione perla Valutazione delle Prestazioni in ambito Aeroportuale. In:Cantarella, G.E., Russo, F. (Eds.), Metodi e Tecnologie perl'Ingegneria dei Trasporti. Franco Angeli, Milan. 2001
  • 7[3]Bianco, L., Dell'Olmo, P., Giordani, S., Scheduling models and algorithms for Tma traffic management. 1997.
  • 8[5]Xiaofeng Qi, Francesco Palmieri, "Theoretical Analysis of Evolutionary Algorithms with an Infinite Population Size in Continuous Space. Part ⅠNetworks, Vol.5, NO.1, 1994, PP102-119
  • 9[6]Yip-Hoi, D., Dutta, D., A genetic algorithm application for sequencing operations in process planning for parallel machining. IIE Transactions 55-68. 1996
  • 10[7]Beasley, J.E., Krishnamoorthy, M., Sharaiha, Y.M., Abramson, D., The displacement problem and dynamically scheduling aircraft landings. Working paper. Imperial College, London 1995

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