A Dynamic Traffic Model for Frequency Assignment

  • Authors:

  • Hakim Mabed;Alexandre Caminada;Jin-Kao Hao;Denis Renaud

  • Affiliations:

  • -;-;-;-

  • Venue:
  • PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
  • Year:
  • 2002

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Abstract

We are interested in improving the quality of frequency assignment via a more accurate modeling of the traffic over the network. For this purpose, we propose here an original model for FAP, which takes into account both spatial and temporal variation of the traffic. The proposed model is assessed with a hybrid genetic algorithm and compared against a classical model. Experimental results on both artificial and real data show significant improvements of the quality of frequency plan in terms of traffic capacity and robustness of the network.