In this work, we present a comparative study of nine multiobjective evolutionary algorithms for solving this NP-hard problem.
These low-speed traffic requests can be groomed or multiplexed onto one single channel with the aim of optimizing the resources and costs of the network ...
Performance assessment of multiobjective approaches in optical ...
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Performance assessment of multiobjective approaches in optical. Traffic Grooming. Álvaro Rubio-Largo n, Miguel A. Vega-Rodríguez, David L. González-Álvarez.
A hierarchical optimization approach to optical network design where traffic grooming and routing is solved by column generation.
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The problem of grooming low-speed traffic requests is known in the literature as the Traffic Grooming problem and is considered an NP-hard optimization problem.
An important issue in multiobjective optimization is the quantitative comparison of the performance of different algorithms. In the case of multiobjective ...
Missing: optical Traffic Grooming.
In this chapter, we present a thorough and comprehensive discussion on various metaheuristic approaches to the grooming of traffic in both static and dynamic ...
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Performance assessment of multiobjective approaches in optical Traffic Grooming. Journal of Network and Computer Applications 41: 319-350 · Modified ...
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This work presents a novel parallel multiobjective approach based on the Artificial Bee Colony algorithm for grooming low-speed traffic requests onto ...
The algorithms found in the literatures focus on a single objective either to maximize the performance or to minimize the cost. We propose a Multi-Objective.
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