Paper Title:
Engineering-Oriented Hybrid Genetic Algorithm for Frequency Assignment Problem
  Abstract

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, Y. Zheng, M. Chen, "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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