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Wang Fei, Xu Xiao-hao, Zhang Jing. Mixed artificial fish school algorithm of aircraft sequencing in terminal area[J]. Journal of Traffic and Transportation Engineering, 2008, 8(3): 68-72.
Citation: Wang Fei, Xu Xiao-hao, Zhang Jing. Mixed artificial fish school algorithm of aircraft sequencing in terminal area[J]. Journal of Traffic and Transportation Engineering, 2008, 8(3): 68-72.
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Mixed artificial fish school algorithm of aircraft sequencing in terminal area

  • 1.

    School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China

  • 2.

    School of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China

More Information
  • Author Bio:

    Wang Fei(1982-), male, doctoral student, +86-22-24094218, wangfei820815@nuaa.edu.an

    Xu Xiao-hao(1949-), male, professor, +86-22-24092008, xuxhao2008@sina.com

  • Received Date: 2007-12-25
  • Publish Date: 2008-06-25
    Abstract
  • In order to ensure flight safety and effectively sequence landing aircrafts in terminal area, an object model with minimum total delay was developed, the ideas of selection operation in genetic algorithm (GA) and the acceptance according to probability in simulated annealing (SA) algorithm were considered, a mixed algorithm was proposed based on artificial fish school algorithm (AFSA), the sequence problem of landing aircraft was solved, and its computational result was compared with the ones computed by first-come-first-serve (FCFS) algorithm, SA algorithm and ant colony optimization (ACO) algorithm. Simulation result shows that the total delays are respectively reduced by 9.3% and 48.0% for single and double runways compared with FCFS algorithm, computational time is less than 3 s, while the delay and computational time are least compared with SA algorithm and ant colony optimization algorithm, so the mixed algorithm (MA) is feasible.

     

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    • References(12)
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