A LAGRANGE NEURAL NETWORK FOR NETWORK TRAFFIC ASSIGNMENT OPTIMIZATION

Authors : Hasan Dalman

Pages : 82-95

Doi:10.51477/mejs.1272077

View : 44 | Download : 38

Publication Date : 2023-12-29

Article Type : Research Paper

Abstract :This study considers a nonlinear optimization problem used to achieve user equilibrium in the network traffic assignment problem. By providing the Karush Kuhn Tucker conditions of this optimization problem, it is converted into a system of differential equations using the Lagrange function. This system is then redefined as a Lagrange neural network, which is proven to be asymptotically and lyapunov stable. Finally, a numerical method are used to demonstrate that the results obtained from this neural network are a solution to the optimization problem and converge to user equilibrium.
Keywords : Network traffic assignment, graph theory, dynamical systems, lagrange neural network