Engineering-Oriented Hybrid Genetic Algorithm for Frequency Assignment Problem

Abstract:

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Since the usable range of the frequency spectrum is limited, the frequency assignment problem (FAP) is important in mobile telephone communication. In this paper, according to the characteristics of engineering- oriented FAP, an engineering-oriented hybrid genetic algorithm (EHGA) based on traditional genetic algorithm (TGA) is proposed, combined with particle swarm optimization (PSO) and simulated annealing (SA). The results obtained by the simulation to a real-word FAP case in GSM show that the algorithm we proposed is a better approach to solve the engineering-oriented FAP.

Info:

Periodical:

Edited by:

Zhu Zhilin & Patrick Wang

Pages:

410-418

DOI:

10.4028/www.scientific.net/AMM.40-41.410

Citation:

T. T. Zhou et al., "Engineering-Oriented Hybrid Genetic Algorithm for Frequency Assignment Problem", Applied Mechanics and Materials, Vols. 40-41, pp. 410-418, 2011

Online since:

November 2010

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Price:

$35.00

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