New Hybrid Genetic Algorithms for the Frequency Assignment Problem

Lhassane Idoumghar 1 René Schott 2 Miguel Alabau
1 ISA - Models, algorithms and geometry for computer graphics and vision
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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 operators. The first mutation operator is based on a greedy algorithm and the second one on an original probabilistic tabu search. 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.
Type de document :
Communication dans un congrès
IEEE. IEEE International Conference on Tools with Artificial Intelligence - ICTAI'2001, Nov 2001, Dallas, Texas, USA, 7 p, 2001
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https://hal.inria.fr/inria-00100444
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 14:45:26
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00100444, version 1

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Lhassane Idoumghar, René Schott, Miguel Alabau. New Hybrid Genetic Algorithms for the Frequency Assignment Problem. IEEE. IEEE International Conference on Tools with Artificial Intelligence - ICTAI'2001, Nov 2001, Dallas, Texas, USA, 7 p, 2001. 〈inria-00100444〉

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