Ant colony optimization metaheuristic for the traffic grooming in WDM networks
International Conference on Combinatorial Optimization and Applications, 2008•Springer
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 efficient and suitable approach for …
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 efficient and suitable approach for …
Abstract
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 efficient and suitable approach for obtaining high-quality routing strategy in non-bifurcated traffic grooming problem in WDM networks.
Springer
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