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Solving the Aircraft Assigning Problem by the Ant Colony Algorithm

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Information and Management Engineering (ICCIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 236))

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Abstract

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.

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhang, T., Lin, J., Qiu, B., Fu, Y. (2011). Solving the Aircraft Assigning Problem by the Ant Colony Algorithm. In: Zhu, M. (eds) Information and Management Engineering. ICCIC 2011. Communications in Computer and Information Science, vol 236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24097-3_29

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  • DOI: https://doi.org/10.1007/978-3-642-24097-3_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24096-6

  • Online ISBN: 978-3-642-24097-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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