NDLI: Research on optimization of flight scheduling problem based on the combination of ant colony optimization and genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Wenkuai Liang Yi Li
Copyright Year	2014
Description	Author affiliation: Nat. Key Lab. of Air Traffic Control Autom. Syst. Technol., Chengdu, China (Yi Li) \|\| Coll. of Comput. Sci., Sichuan Univ., Chengdu, China (Wenkuai Liang)
Abstract	As the flight scheduling has always been a key technology which reduces flight delays and costs. Rational and efficient flight sorting method not only can effectively improve the utilization of the airport, reduce flight delay, but also ensure flight safety and reduce the incidence of sudden accidents. Firstly, we studied the application of ant colony algorithm in flight sorting, and proposed a new flight sorting method which is combined with ant colony algorithm and genetic algorithm depending on the mutation characteristic of genetic algorithm; Secondly, the minimization objective model that the flight total delay was minimum was established based on the sorting method; Finally, the simulation experiment was done based on the model. The simulation results show that the proposed method can effectively reduce flight delay. Comparing with ant colony algorithm, the global optimal flight sequence can be found in a shorter time.
Starting Page	296
Ending Page	299
File Size	363051
Page Count	4
File Format	PDF
ISBN	9781479932788
ISSN	23270594
e-ISBN	9781479932795
DOI	10.1109/ICSESS.2014.6933567
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Ant colony optimization Genetic algorithm Optimal scheduling Flight scheduling Educational institutions Delays Global optimal Genetic algorithms Sorting
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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