JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2017, Vol. 52 ›› Issue (1): 23-28.doi: 10.6040/j.issn.1671-9352.0.2016.316

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Improved particle swarm optimization for flight conflict resolution based on variable neighborhood search

MA Lan, LI Wei-an, YIN Tian-yi   

  1. College of Air Traffic Management, China Civil Aviation University, Tianjin 300300, China
  • Received:2016-06-29 Online:2017-01-20 Published:2017-01-16

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Abstract: Flight conflict resolution is the key to the safe operation of aircrafts. Both Particle Swarm Optimization(PSO)and Variable Neighborhood Search(VNS)can be used to resolve flight conflict problems. But the rate of PSO will be lower when the solution is close to the optimal one, while VNS is weak at global search. In order to combine fast convergence for global search of PSO and local search of VNS, we proposed enhanced PSO with VNS. The simulation results prove that the improved algorithm can search the global optimal solution effectively, meanwhile inherit advantages of both two algorithms and improve the quality of final solved flight tracks.

Key words: particle swarm optimization, flight conflict resolution, variable neighborhood search

CLC Number: 

  • TP301
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