Multiobjective optimization in optical networks for multicast transmission using evolutionary algorithms and fuzzy logic
Abstract
AbstractIn 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.
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.
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Articles