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

Authors

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 del Norte, Universidad del Norte
    Universidad Tecnológica de Bolívar e Instituto Tecnológico de Monterrey.
  • Margarita Coronell, Universidad del Norte, Universidad del Norte, Universidad del Norte
    Universidad Tecnológica de Bolívar e Instituto Tecnológico de Monterrey.
  • Yezid Donoso, Universidad del Norte, Universidad del Norte, Universidad del Norte
    Departamento de Ingeniería de Sistemas, Universidad del Norte.

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Published

2011-07-11

Issue

No. 21 (2007): January - June

Section

Articles

How to Cite

[1]
“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, Accessed: Oct. 23, 2026. Available: https://rcientificas.uninorte.edu.co/ingenieria/article/view/2111