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