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Content Provider | IEEE Xplore Digital Library |
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Author | Weiqiang Liu Min Zhu Xinru Wang |
Copyright Year | 2008 |
Description | Author affiliation: Coll. of Comput. Sci., Sichuan Univ., Chengdu (Weiqiang Liu; Min Zhu) || Coll. of Comput. Sci. & Technol., Civil Aviation Univ. of China, Tianjin (Xinru Wang) |
Abstract | In order to optimize the recovery scheduling of large-scale flight delays, the loss constitution of flight delays is analyzed after considering the economic benefits and social impact of flight delays, and a new recovery scheduling model of large-scale flight delays is put forward. A hybrid particle swarm optimization (HPSO) is designed by introducing local search method into particle swarm optimization. Simulations are carried out by using flight data from a domestic airport. The results show that HPSO has obvious advantages over other scheduling algorithms, and the purposes of optimizing the sequencing of the flights and reducing the economic losses are achieved. |
Starting Page | 634 |
Ending Page | 639 |
File Size | 417119 |
Page Count | 6 |
File Format | |
ISBN | 9780769533049 |
DOI | 10.1109/ICNC.2008.793 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-10-18 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Computer science Costs Processor scheduling Delay effects Search methods Educational institutions Large-scale systems Particle swarm optimization Aircraft Constitution |
Content Type | Text |
Resource Type | Article |
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