In this paper, an optical network optimization based on particle swarm intelligence is described. The particle swarm optimization (PSO) algorithm is evocated in order to solve the problem of resource allocation (RA) based on the signal-to-noise plus interference ratio optimization in a hybrid wavelength division multiplexing/optical code division multiplexing network with quality-of-service restrictions. The RA optimization based on the PSO strategy allows the regulation of the transmitted power in order to maximize the energy efficiency. For the network optimization context, a system model is described, figures of merit are presented, and a suitable model for the heuristic optimization approach is developed, with emphasis on the optimization of input parameters and network performance. Afterward, extensive numerical results for both optimization problems are discussed, taking into account realistic network operation scenarios.
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