Publication detail

The Convergence of Genetic Algorithms in GSM Network Optimization

ZÁVODNÝ, L., HANUS, S.

Original Title

The Convergence of Genetic Algorithms in GSM Network Optimization

English Title

The Convergence of Genetic Algorithms in GSM Network Optimization

Type

conference paper

Language

en

Original Abstract

This paper deals with the monitoring of the genetic algorithms convergence. GSM network parameters such as the radio channel and emitted power of the transmitters are the object of the optimization. Signal to noise ratio is the criterion of optimization. The best setting of the algorithm parameters has been looked for on the basis of many random trials. The probability of mutation and of crossover was taken as the changeable parameters of optimization. Results are presented by number of bar graphs, which displays the progress of optimization at different settings.

English abstract

This paper deals with the monitoring of the genetic algorithms convergence. GSM network parameters such as the radio channel and emitted power of the transmitters are the object of the optimization. Signal to noise ratio is the criterion of optimization. The best setting of the algorithm parameters has been looked for on the basis of many random trials. The probability of mutation and of crossover was taken as the changeable parameters of optimization. Results are presented by number of bar graphs, which displays the progress of optimization at different settings.

Keywords

GSM radio network genetic algorithms convergence

Released

01.10.2003

Publisher

KoREMA, Croatian Society for Communications, Computing, Electronics, Measurement and Control

Location

Dubrovník

ISBN

953-6037-39-4

Book

Conference Proceeding ICECom 2003

Edition

Neuveden

Edition number

1

Pages from

91

Pages to

94

Pages count

4

Documents

BibTex


@inproceedings{BUT7782,
  author="Luděk {Závodný} and Stanislav {Hanus}",
  title="The Convergence of Genetic Algorithms in GSM Network Optimization",
  annote="This paper deals with the monitoring of the genetic algorithms convergence. GSM network parameters such as the radio channel and emitted power of the transmitters are the object of the optimization. Signal to noise ratio is the criterion of optimization. The best setting of the algorithm parameters has been looked for on the basis of many random trials. The probability of mutation and of crossover was taken as the changeable parameters of optimization. Results are presented by number of bar graphs, which displays the progress of optimization at different settings.",
  address="KoREMA, Croatian Society for Communications, Computing, Electronics, Measurement and Control",
  booktitle="Conference Proceeding ICECom 2003",
  chapter="7782",
  edition="Neuveden",
  institution="KoREMA, Croatian Society for Communications, Computing, Electronics, Measurement and Control",
  year="2003",
  month="october",
  pages="91",
  publisher="KoREMA, Croatian Society for Communications, Computing, Electronics, Measurement and Control",
  type="conference paper"
}