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An Iterative Heuristics Algorithm for Solving the Integrated Aircraft and Passenger Recovery Problem

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Research and Development in Intelligent Systems XXXI (SGAI 2014)

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Abstract

Airline disruption incurred huge cost for airlines and serious inconvenience for travelers. In this paper, we study the integrated aircraft and passenger schedule recovery problem. To efficiently solve this problem, we proposed decomposition method to divide the whole problem into two smaller problems. An iterative heuristics strategy is proposed to improve solution quality by iteratively solving decomposed problems. Our algorithm is tested on the data set provided by ROADEF 2009. We simulate several airport closure scenarios and experimental results show that our algorithm can provide a high quality solution in the required time limit.

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Authors and Affiliations

  1. University of Hong Kong, Pokfulam, Hong Kong

    Zhang Dong & H.Y.K. Henry Lau

Authors
  1. Zhang Dong
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  2. H.Y.K. Henry Lau
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Corresponding author

Correspondence to Zhang Dong .

Editor information

Editors and Affiliations

  1. University of Portsmouth, Portsmouth, United Kingdom

    Max Bramer

  2. School of Computing, Eng & Mathematics, University of Brighton, Brighton, West Sussex, United Kingdom

    Miltos Petridis

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Dong, Z., Henry Lau, H. (2014). An Iterative Heuristics Algorithm for Solving the Integrated Aircraft and Passenger Recovery Problem. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXXI. SGAI 2014. Springer, Cham. https://doi.org/10.1007/978-3-319-12069-0_21

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  • DOI: https://doi.org/10.1007/978-3-319-12069-0_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12068-3

  • Online ISBN: 978-3-319-12069-0

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