Multiobjective optimization in optical networks for multicast transmission using evolutionary algorithms and fuzzy logic

Authors

  • Luis Tovar Universidad del Norte
  • Margarita Coronell Universidad del Norte
  • Yezid Donoso Universidad del Norte

Abstract

Abstract
In this paper, we develop a fuzzy analytical model, which solves a multiobjective problem in multicast transmission with static trees over GMPLS networks. A model proponed by Donoso [4] was used. The multiobjective problem is solved through metaheuristic wit h evolutionary algorithms, in this case SPEA2 solving a NP-Hard problem in polynomial time. Additionally, a Fuzzy Evolutionary Algorithm based on SPEA2 is implemented.
Finally, the comparison between FSPEA2 and SPEA2 is realized and we are
giving some conclusions.

Author Biographies

Luis Tovar, Universidad del Norte

Universidad Tecnológica de Bolívar e Instituto Tecnológico de Monterrey.

Margarita Coronell, Universidad del Norte

Universidad Tecnológica de Bolívar e Instituto Tecnológico de Monterrey.

Yezid Donoso, Universidad del Norte

Departamento de Ingeniería de Sistemas, Universidad del Norte.

Published

2011-07-11

How to Cite

[1]
L. Tovar, M. Coronell, and Y. Donoso, “Multiobjective optimization in optical networks for multicast transmission using evolutionary algorithms and fuzzy logic”, Ing. y Des., vol. 21, no. 21, pp. 39–55, Jul. 2011.

Issue

Section

Articles