Randomization in Constraint Programming for Airline Planning

  • Lars Otten
  • Mattias Grönkvist
  • Devdatt Dubhashi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4204)


We extend the common depth-first backtrack search for constraint satisfaction problems with randomized variable and value selection. The resulting methods are applied to real-world instances of the tail assignment problem, a certain kind of airline planning problem. We analyze the performance impact of these extensions and, in order to exploit the improvements, add restarts to the search procedure. Finally computational results of the complete approach are discussed.


Column Generation Constraint Program Constraint Satisfaction Problem Universal Strategy Alldifferent Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Lars Otten
    • 1
  • Mattias Grönkvist
    • 1
    • 2
  • Devdatt Dubhashi
    • 1
  1. 1.Department of Computer Science and EngineeringChalmers University of TechnologyGothenburgSweden
  2. 2.Jeppesen (Carmen Systems AB)GothenburgSweden

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