Title :
New hybrid genetic algorithms for the frequency assignment problem
Author :
Alabau, Miguel ; Idoumghar, Lhassane ; Schott, René
Author_Institution :
Technopole Metz, TDF-C2R Broadcasting & Wireless Res. Center, Metz, France
fDate :
3/1/2002 12:00:00 AM
Abstract :
This paper presents a new hybrid genetic algorithm used to solve a frequency assignment problem. The hybrid genetic algorithm presented uses two original mutation and two crossover operators. Theses operators use specialized information to enhance 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 radio broadcasting and compared to the best existing solutions in this domain
Keywords :
frequency allocation; genetic algorithms; mathematical operators; radio broadcasting; radio networks; telecommunication network planning; crossover operators; frequency assignment; hybrid genetic algorithms; mutation operators; radio broadcasting; radio network planning; tabu search; Broadcasting; Evolutionary computation; Frequency; Genetic algorithms; Genetic mutations; Greedy algorithms; Interference constraints; NP-hard problem; Radio network; Radio transmitters;
Journal_Title :
Broadcasting, IEEE Transactions on
