Solving the Aircraft Assigning Problem by the Ant Colony Algorithm

  • Tao Zhang
  • Jing Lin
  • Biao Qiu
  • Yizhe Fu
Part of the Communications in Computer and Information Science book series (CCIS, volume 236)


This paper sums the aircraft assigning problem up as vehicle routing problem, and constructs a mixed integer programming model. This model not only considers the link time and link airport between two consecutive flight strings, but also considers the available flying time for each aircraft. To solve this problem, an Ant Colony System (ACS) combining with the pheromone updating strategy of ASRank (Rank-based Version of Ant System) and MMAS (MAX-MIN Ant System) is proposed. Seven groups of initial flight string sets are used to test the method, and the important parameters of the algorithm are analyzed. The numerical results show that the method of this paper can effectively reduce the total link time between the continuous flight strings, and obtain the satisfactory solution with high convergence speed.


Aircraft assigning flight string ant colony optimization (ACO) vehicle routing problem (VRP) 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Tao Zhang
    • 1
  • Jing Lin
    • 1
  • Biao Qiu
    • 1
  • Yizhe Fu
    • 1
  1. 1.School of Information Management and EngineeringShanghai University of Finance and EconomicsChina

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