A Schedule Optimization Model on Multirunway Based on Ant Colony Algorithm
Joint Authors
Jiang, Yu
Liao, Zhihua
Xu, Zhaolong
Xu, Xinxing
Luo, Yuxiao
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In order to make full use of the slot of runway, reduce flight delay, and ensure fairness among airlines, a schedule optimization model for arrival-departure flights is established in the paper.
The total delay cost and fairness among airlines are two objective functions.
The ant colony algorithm is adopted to solve this problem and the result is more efficient and reasonable when compared with FCFS (first come first served) strategy.
Optimization results show that the flight delay and fair deviation are decreased by 42.22% and 38.64%, respectively.
Therefore, the optimization model makes great significance in reducing flight delay and improving the fairness among all airlines.
American Psychological Association (APA)
Jiang, Yu& Xu, Zhaolong& Xu, Xinxing& Liao, Zhihua& Luo, Yuxiao. 2014. A Schedule Optimization Model on Multirunway Based on Ant Colony Algorithm. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1044198
Modern Language Association (MLA)
Jiang, Yu…[et al.]. A Schedule Optimization Model on Multirunway Based on Ant Colony Algorithm. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1044198
American Medical Association (AMA)
Jiang, Yu& Xu, Zhaolong& Xu, Xinxing& Liao, Zhihua& Luo, Yuxiao. A Schedule Optimization Model on Multirunway Based on Ant Colony Algorithm. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1044198
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044198