Routing and wavelength assignment based on genetic algorithm

被引:30
作者
Qin, H [1 ]
Liu, ZG [1 ]
Zhang, S [1 ]
Wen, AJ [1 ]
机构
[1] Xidian Univ, Natl Key Lab Integrated Serv Network, Xian 710071, Peoples R China
关键词
genetic algorithms; linear programming; network; wavelength division multiplexing;
D O I
10.1109/LCOMM.2002.804249
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this letter, the routing and wavelength assignment problem in all optical networks is considered. We improve the Max-RWA model presented in [2] 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 an integer linear programming (ILP), and then solved using 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.
引用
收藏
页码:455 / 457
页数:3
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