IEEE Communications Letters · 2012 · 123 citations · 11 references
ArchitectureGeneticsEvolutionary GeneticsMicroevolutionOptimizationEvolutionary ComputationEvolutionary OptimizationGenetic AlgorithmsMutation OperatorsPopulation-based SearchEvolutionary AlgorithmsEvolutionary SearchGenetic Algorithm OptimizationGenetic Algorithms For SearchMutationOptical MultiplexingOrthogonal Frequency-division MultiplexingPopulation-based Optimization
We propose a novel two-population genetic algorithm (MPGA) to optimize the routing, modulation and spectrum assignments (RMSA) in optical orthogonal frequency-division multiplexing (O-OFDM) networks. The proposed MPGA makes two populations evolve in parallel with different selection and mutation strategies, and incorporates a migration operation to exchange individuals between them. Performance evaluations show that the MPGA outperforms several existing algorithms.
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