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Congestion problem is an important factor affecting network performance, this paper studies the congestion control problem in multilayer intelligent optical networks (IONs), proposed a kind of postponed teardown congestion control algorithm (MinLP_PTD), which based on critical link prediction and using grooming strategy. Firstly, considering the expected congestion of the link, defined critical link...
For the disadvantages of BP neural network(NN), which easily traps into a local optimum and is sensitive to the initial parameters of the network, an algorithm for the optimization of the architecture, the weights and the thresholds of neural networks using an improved gene expression programming(IGEP) was presented. First, the basic principles of BP neural network (BP-NN) and GEP was introduced and...
A novel global quality of transmission (QoT) optimization scheme is proposed for GMPLS-based reconfigurable transparent optical networks. By perceiving and controlling the transmission impairments and state of tunable compensators, dynamic QoT optimization is implemented on the fly. Simulation results show that, the proposed QoT optimization can avoid unnecessary compensator adjustment and lower operating...
This paper presents a study of dynamic optimal control for a stochastic PSO system. Initially, the PSO system is treated as a discrete-time stochastic system considering the effect of random parameters. And then, under system convergence conditions, dynamic optimal control for the stochastic PSO system is studied for parameters optimization using dynamic programming integrating with swarm intelligence;...
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