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DING Jian-li, WANG Xin-ru, XU Tao. Hybrid particle swarm optimization arithmetic for recovery scheduling of flight delays[J]. Journal of Traffic and Transportation Engineering, 2008, 8(2): 90-95.
Citation: DING Jian-li, WANG Xin-ru, XU Tao. Hybrid particle swarm optimization arithmetic for recovery scheduling of flight delays[J]. Journal of Traffic and Transportation Engineering, 2008, 8(2): 90-95.
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Hybrid particle swarm optimization arithmetic for recovery scheduling of flight delays

  • School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China

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  • Author Bio:

    Ding Jian-li (1963-), male, PhD, professor, +86-22-24092849, jianliding@yahoo.com.cn

  • Received Date: 2007-08-21
  • Publish Date: 2008-04-25
    Abstract
  • In order to optimize the recovery scheduling of flight delays, airline impact factors were defined, the economic benefit, social impact and loss constitution of flight delays were considered, a new recovery scheduling model of flight delays was created, a hybrid particle swarm optimization arithmetic (HPSOA) was put forward, and local search method was introduced into the arithmetic.Computation result shows that HPSOA can reduce the flight delay losses by 4.2% compared with first-come-first-serve (FCFS) strategy, and evenly reduce the flight delay losses by 2.0% compared with basic PSOA and evolutionary strategy (ES), so the advantage of HPSOA is more obvious with the increase of recovery scale in flight delays.

     

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