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Performance evaluation of WMN-GA simulation system for different settings of genetic operators considering giant component and number of covered users

Autor
Barolli, A.; Takizawa, M.; Oda, T.; Spaho, E.; Barolli, L.; Uchida, K.; Xhafa, F.
Tipus d'activitat
Article en revista
Revista
International journal of distributed systems and technologies
Data de publicació
2012
Volum
3
Número
3
Pàgina inicial
1
Pàgina final
14
DOI
https://doi.org/10.4018/jdst.2012070101 Obrir en finestra nova
URL
http://www.igi-global.com/article/performance-evaluation-wmn-simulation-system/67554 Obrir en finestra nova
Resum
In this paper, the authors propose and implement a system based on Genetic Algorithms (GAs) called WMN-GA. They evaluated the performance of WMN-GA for 0.7 crossover rate and 0.3 mutation rate, exponential ranking and different distribution of clients considering size of giant component and number of covered users parameters. The simulation results show that for normal distribution the system has better performance. The authors also carried out simulations for 0.8 crossover rate and 0.2 mutation...

Participants

  • Barolli, Admir  (autor)
  • Takizawa, Makoto  (autor)
  • Oda, Tetsuya  (autor)
  • Spaho, Evjola  (autor)
  • Barolli, Leonard  (autor)
  • Uchida, Kazunori  (autor)
  • Xhafa Xhafa, Fatos  (autor)