Journal of Scheduling

, Volume 11, Issue 4, pp 263–277

Graph colouring approaches for a satellite range scheduling problem

  • Nicolas Zufferey
  • Patrick Amstutz
  • Philippe Giaccari


A goal of this paper is to efficiently adapt the best ingredients of the graph colouring techniques to an NP-hard satellite range scheduling problem, called MuRRSP. We propose two new heuristics for the MuRRSP, where as many jobs as possible have to be scheduled on several resources, while respecting time and capacity constraints. In the permutation solution space, which is widely used by other researchers, a solution is represented by a permutation of the jobs, and a schedule builder is needed to generate and evaluate a feasible schedule from the permutation. On the contrary, our heuristics are based on the solution space which contains all the feasible schedules. Based on the similarities between the graph colouring problem and the MuRRSP, we show that the latter solution space has significant advantages. A tabu search and an adaptive memory algorithms are designed to tackle the MuRRSP. These heuristics are derived from efficient graph colouring methods. Numerical experiments, performed on large, realistic, and challenging instances, showed that our heuristics are very competitive, robust, and outperform algorithms based on the permutation solution space.


Oversubscribed satellite scheduling Graph colouring heuristics 


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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Nicolas Zufferey
    • 1
  • Patrick Amstutz
    • 2
  • Philippe Giaccari
    • 3
  1. 1.HECFaculté des Sciences Économiques et Sociales, University of GenevaGeneva 4Switzerland
  2. 2.Department of Communication and Computer ScienceSwiss Federal Institute of TechnologyLausanneSwitzerland
  3. 3.Centre d’Optique, Photonique et LaserUniversité LavalQuébecCanada

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