New Hybrid Genetic Algorithms for the Frequency Assignment Problem

Miguel Alabau , Lhassane Idoumghar (1) , René Schott (2)

1 ISA - Models, algorithms and geometry for computer graphics and vision
2 IECN - Institut Élie Cartan de Nancy

This paper presents a new hybrid genetic algorithm used to solve a frequency assignment problem. The hybrid genetic algorithm presented in this paper uses two original mutation and two crossover operators. Theses operators use specialized information to enhace the quality of the solutions. The results obtained by our algorithm are better than the best known results obtained by other methods like tabu search and hybrid genetic algorithm. Our results are validated in the field of radiobroadcasting and compared to the best existing solutions in this domain.

Mots clés: tabu search; problème d'allocation de fréquences; frequency assignment problem; genetic algorithms; graph colouring; greedy algorithms; hybrid algorithms

Mots clés: algorithmes génétiques; coloriage de graphe; algorithme glouton; algorithme hybride; méthode tabou

Domaines: Autre [cs.OH]

Miguel Alabau, Lhassane Idoumghar, René Schott. New Hybrid Genetic Algorithms for the Frequency Assignment Problem. IEEE Transactions on Broadcasting, 2002, 48 (1), pp.27-34. ⟨10.1109/11.992851⟩. ⟨inria-00100743⟩