DocumentCode :
3407493
Title :
Research on Greedy Simulated Annealing Algorithm for irregular flight schedule recovery model
Author :
Qiang, Gao ; Xiao-wei, Tang ; Jin-fu, Zhu
Author_Institution :
Coll. of Civil Aviation, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2009
fDate :
10-12 Nov. 2009
Firstpage :
1469
Lastpage :
1475
Abstract :
To release the severe influence caused by irregular flight, this article puts forward a new model and its optimization algorithm on basis of the existing model, the focus of which is to design greedy simulated annealing algorithm. The new algorithm, which integrates the characteristics of GRASP and simulated annealing algorithm, improves the efficiency of neighborhood selection and reduces the probability of falling into a local optimal solution. Example proves that this algorithm is able to solve large-scale irregular flight schedule recovery, with the time cost suitable to the outcome quality.
Keywords :
air traffic; greedy algorithms; simulated annealing; GRASP; greedy simulated annealing algorithm; irregular flight schedule recovery model; large-scale irregular flight schedule recovery; optimization algorithm; Aerospace simulation; Aircraft; Airports; Algorithm design and analysis; Delay; Forward contracts; Large-scale systems; Optimal scheduling; Scheduling algorithm; Simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
Type :
conf
DOI :
10.1109/GSIS.2009.5408145
Filename :
5408145
Link To Document :
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