Title :
A neural networks approach of routing/flow control for communication networks
Author :
Murgu, Alexandru ; Neittaanmaki, Pekka ; Hara, Veikko
Author_Institution :
Dept. of Math., Jyvaskyla Univ., Finland
fDate :
27 Jun-2 Jul 1994
Abstract :
Considers an optimal control technique for solving dynamic, nonlinear, discrete time optimization problems based on reduced gradient and neural networks which is applied to optimal flow control in traffic networks with time-varying flows. The obtained results in terms of required computation time and flow assumptions are relevant for a real-time implementation of the routing/flow control algorithms
Keywords :
directed graphs; neural nets; optimal control; optimisation; telecommunication network management; telecommunication network routing; telecommunication traffic; communication networks; dynamic nonlinear discrete time optimization problems; neural networks; real-time implementation; reduced gradient method; routing/flow control; time-varying flows; Area measurement; Communication networks; Communication system control; Communication system traffic control; Current measurement; Large-scale systems; Neural networks; Optimal control; Routing; Telecommunication control;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374643
