Variable Neighborhood Multiobjective Genetic Algorithm for the Optimization of Routes on IP Networks

@inproceedings{Onety2011VariableNM,
  title={Variable Neighborhood Multiobjective Genetic Algorithm for the Optimization of Routes on IP Networks},
  author={Renata E. Onety and Gladston J. P. Moreira and Oriane M. Neto and Ricardo Hiroshi Caldeira Takahashi},
  booktitle={EMO},
  year={2011}
}
This paper proposes an algorithm to optimize multiple indices of Quality of Service of Multi Protocol Label Switching (MPLS) IP networks. The proposed algorithm, the Variable Neighborhood Multiobjective Genetic Algorithm (VN-MGA), is a Genetic Algorithm based on the NSGA-II, with the particular feature that different parts of a solution are encoded differently, at Level 1 and Level 2. In order to improve the results, both representations are needed. At Level 1, the first part of the solution is… 

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