Ant Colony Optimization Metaheuristic for the Traffic Grooming in WDM Networks

@inproceedings{Li2008AntCO,
  title={Ant Colony Optimization Metaheuristic for the Traffic Grooming in WDM Networks},
  author={Xiangyong Li and Yash P. Aneja and Md. Fazle Baki},
  booktitle={COCOA},
  year={2008}
}
This paper studies the routing strategy in non-bifurcated traffic grooming in WDM networks. It is to optimally route the specified traffic over a given logical topology to minimize the congestion of the WDM network. We first present the node-arc formulation. To overcome the computational complexity by implementing exact algorithms, we present an ant colony optimization (ACO) metaheuristic. The computational results compared to those of exact algorithms demonstrate that ACO is a computationally… CONTINUE READING
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2 Excerpts

Baki Table 2 . Computational results of ACOTG on the SDH network No . Linear relaxation Nodearc method ACOTG LB CPUs LINGOfirst CPUs Best Worst Avg

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