Efficient Filtering and Tabu Search on a Consistent Neighbourhood for the Frequency Assignment Problem with Polarisation

Audrey Dupont (1) , Eric Alvernhe (1) , Michel Vasquez (1)

1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production

This article presents a specific filtering algorithm for the Frequency Assignment Problem with Polarisation, which combines arc-consistency and path-inverse-consistency adapted to the specificities of the constraints. The effectiveness of this filtering algorithm enabled us to improve the Tabu Search on a Consistent Neighbourhood (CN-Tabu) using two different approaches. So, after a short recall of this general methodology and a presentation of its obtained results on the FAPP, we propose a behavioural study of the two approaches by comparing the results.

Mots clés: frequency assignment problem; arc-consistency; path-inverse-consistency; Tabu Search; Consistent Neighbourhood

Domaines: Recherche opérationnelle [math.OC]

Audrey Dupont, Eric Alvernhe, Michel Vasquez. Efficient Filtering and Tabu Search on a Consistent Neighbourhood for the Frequency Assignment Problem with Polarisation. Annals of Operations Research, 2004, 130, pp.179-198. ⟨10.1023/B:ANOR.0000032575.38969.ab⟩. ⟨hal-00353829⟩