Optimizing Arrival Flight Delay Scheduling Based on Simulated Annealing Algorithm

被引:0
作者
Tian Jun Gai [1 ]
Xu Hong Jun [2 ]
机构
[1] Civil Aviat Univ China, Sino Europe Coll, Tianjin, Peoples R China
[2] Civil Aviat Univ China, Econ & Management Coll, Tianjin, Peoples R China
来源
2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 1 | 2011年
关键词
flight delay scheduling; simulated annealing algorithm; delay cost; system optimization;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a model based on the simulated annealing algorithm for optimizing arrival flight delays to reduce serious air traffic flight delays. Based on the characteristic of the flights and the thinking of system optimization, this paper builds up dynamic optimizing models of the flight delays scheduling with the objective function of delay cost. The simulated annealing algorithm is also used to solve this problem. This model can reduce the cost and the influence of the delay as much as possible. Data from an airport in China has been used to verify the model.
引用
收藏
页码:164 / 167
页数:4
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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 183 (03) :1013-1027
[4]  
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[5]  
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