Solving the frequency assignment problem using genetic algorithms, evolutionary simulated annealing and differential evolution

Eugénia Bernardino, Anabela Bernardino, Juan M.Sánchez Pérez, Juan A.Gómez Pulido, Miguel A.Vega Rodríguez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In recent years we have witnessed a tremendous growth of mobile communication networks resulted in a run out of the most important resource, frequencies in the radio spectrum. In this paper we consider the Frequency Assignment Problem, where the objective is to minimize the cost due to interference arising in a solution. Our procedure includes some original features, including the application of a Differential Evolution, new methods of crossover and mutation when Genetic Algorithms and Evolutionary Simulated Annealing are used. For testing we use standard benchmark instances from the literature that allow models and algorithms to be compared more easily, and allow comparisons between the work of different authors.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Software Engineering, SE 2008
Pages330-335
Number of pages6
StatePublished - 2008
Externally publishedYes
EventIASTED International Conference on Software Engineering, SE 2008 - Innsbruck, Austria
Duration: Feb 12 2008Feb 14 2008

Publication series

NameProceedings of the IASTED International Conference on Software Engineering, SE 2008

Conference

ConferenceIASTED International Conference on Software Engineering, SE 2008
Country/TerritoryAustria
CityInnsbruck
Period02/12/0802/14/08

Keywords

  • Evolutionary Algorithms
  • Frequency Assignment Problem
  • Mobile and Wireless Computing
  • Optimization

Fingerprint

Dive into the research topics of 'Solving the frequency assignment problem using genetic algorithms, evolutionary simulated annealing and differential evolution'. Together they form a unique fingerprint.

Cite this