Grooming of traffic using improved evolutionary algorithm in universal optical network

Authors:
Yishi Han;Zhanbin Ao
Affiliations:
Guangdong University of Technology, Guangzhou, P.R. China;Guangdong University of Technology, Guangzhou, P.R. China
Venue:
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
Year:
2008

Citing 6
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Abstract

In this paper, the traffic grooming based on Adaptive Immune Evolutionary Algorithm (AIEA) was proposed. The problem of traffic grooming was formulated in optical networks, including main constrain, upper limit and optimized objectives. The process of AIEA was also given by flowchart. Computer simulations were performed with arbitrary traffic pattern and universal optical network topologies, such as ring networks and mesh networks. Comparison with other heuristic algorithms, the results show AIEA has better resource utilization, good convergence rate and global optimization features in optical network, especial in complex mesh optical network.