A Hybrid Hopfield Network-Simulated Annealing approach to Optimize Routing Processes in Telecommunications Networks

This article proposes a new hybrid technique to optimize an intelligent routing algorithm in telecommunications based on Hopfield Neural Networks (HNN) and Simulated Annealing (SA). The SA obtains the optimal parameters for Hopfield Neural Networks. The optimization was carried out considering as performance criterion a combination of (1) the error of the HNN routing algorithm as applied to find the shortest path between two nodes, and (2) the number of iterations employed by the HNN algorithm to find the shortest path. By using this approach better results have been achieved, with lower number of iterations and smaller error rates.