A Multi-Objective Solution Applying MOEA in Optical Networks

Author

Donoso, Yezid ; Alvarado, Carolina ; Perez, Alfredo ; Herazo, Ivan

Author_Institution

Dept. of Comput. Sci., Univ. del Norte, Barranquilla

fYear

2007

fDate

1-5 April 2007

Firstpage

360

Lastpage

367

Abstract

This paper shows the solution of a multiobjective scheme for multicast transmissions in MPLS networks with a GMLS optical backbone using evolutive algorithms. It has not been showed models that optimize one or more parameters integrating these two types of networks. Because the proposed scheme is a NP-hard problem, an algorithm has been developed to solve the problem on polynomial time. The main contributions of this paper are the proposed mathematical model and the algorithm to solve it

Keywords

communication complexity; evolutionary computation; multicast communication; multiprotocol label switching; operations research; optical communication; NP-hard problem; generalized multiprotocol label switching network; mathematical model; multicast transmissions; multiobjective evolutionary algorithm; multiobjective optimization; optical networks; polynomial time; Evolutionary computation; Multicast algorithms; Multiprotocol label switching; Optical attenuators; Optical fiber networks; Propagation delay; Routing protocols; Telecommunication traffic; Traffic control; Wavelength routing; Evolutionary Algorithms; GMPLS; MPLS; Multicast; Multiobjective Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on

Conference_Location

Honolulu, HI

Print_ISBN

1-4244-0702-8

Type

conf

DOI

10.1109/MCDM.2007.369114

Filename

4223029