| 基于改进粒子群算法的机场多航班多服务调度策略 |
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| 引用本文： | 高原,王新茹,丁建立.基于改进粒子群算法的机场多航班多服务调度策略[J].航空计算技术,2008,38(3):5-9. |
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| 作者姓名： | 高原 王新茹 丁建立 |
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| 作者单位： | 1. 北京首都国际机场股份有限公司,信息技术管理部,北京,100621
2. 中国民航大学,计算机科学与技术学院,天津,300300 |
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| 摘 要： | 机场加油、行李和配餐等多项地面服务是航班正常运行的关键,也是机场大面积航班延误快速恢复过程重点考虑的问题.在对多航班多服务调度目标和约束条件分析的基础上,提出了多航班多服务调度模型,定义了粒子的二维表示方法,设计了一种改进粒子群算法来生成航班调度方案,并针对国内某机场的航班数据进行了仿真实验,结果表明,该算法与基本粒子群算法、进化策略相比,有明显优势,可极大地提高多航班多服务调度水平和机场地面服务效率.
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| 关 键 词： | 粒子群算法 多航班多服务调度 进化策略 机场地面服务 |
Airport Multi-flight and Multi-service Scheduling Strategy Based on Modified Particle Swarm Optimization |
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| GAO Yuan,WANG Xin-ru,DING Jian-li.Airport Multi-flight and Multi-service Scheduling Strategy Based on Modified Particle Swarm Optimization[J].Aeronautical Computer Technique,2008,38(3):5-9. |
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| Authors: | GAO Yuan WANG Xin-ru DING Jian-li |
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| Institution: | GAO Yuan1,WANG Xin-ru2,DING Jian-li2(1.IT Department of Beijing Capital International Airport Co.Ltd,Beijing 100621,China,2.College of Computer Science , Technology,Civil Aviation University of China,Tianjin 300300,China) |
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| Abstract: | Airport ground services,such as refueling,luggage,catering,are the key to the normal operation of flights and also the key problem in rapid recovery from large-scale flight delays at an airport.The objective and constraints of multi-flight multi-service scheduling problem are analyzed.Multi-flight multi-service scheduling model is put forward.A two-dimensional particle representation is defined.A modified particle swarm optimization is designed to generate the flight scheduling solution.A simulation is carr... |
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| Keywords: | particle swarm optimization multi-flight multi-service scheduling evolutionary strategy airport ground service |
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