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Routing and wavelength assignment based on genetic algorithm

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4 Author(s)
Hao Qin ; Nat. Key Lab. on Integrated Services Network, Xidian Univ., Xi''an, China ; Zengji Liu ; Shi Zhang ; Aijun Wen

In this letter, the routing and wavelength assignment problem in all optical networks is considered. We improve the Max-RWA model presented by R. M. Krishnaswamy and K. N. Sivarajan (see ibid., vol.5, p.435-7, Oct. 2001) by introducing limited-range wavelength conversions. Considering transmission performance, we propose a new optimization objective, which is to establish the maximum number of connections with the least number of wavelength converters. The modified Max-RWA problem is formulated as a integer linear programming (ILP) problem, and then solved using a genetic algorithm. The extended layered-graph approach is used to assign routes and wavelengths when necessary, thus reducing the complexity of the genetic algorithm. Numerical results obtained for NSFNET are presented.

Published in:

Communications Letters, IEEE  (Volume:6 ,  Issue: 10 )

Date of Publication:

Oct. 2002

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