Optimal routing in multiple I/O data network using neural network with perturbed energy function

An optimal routing problem in multiple I/O data network is one of the most important problems related on the performance of the network basically, and is formulated as a constrained nonlinear optimization problem. When solving the problem considered using neural networks, we may obtain local minima, rather than global minimum, because the problem has multimodals. In this paper, we introduce a perturbed energy function into the neural network based on a penalty method to solve the multimodal nonlinear optimization problem.