A new dynamic routing algorithm based on chaotic neural networks

A dynamic routing algorithm based on chaotic neural network is proposed to solve the routing problem in communication network. The proposed neural networks have many merits which are transient chaos and stable convergence etc. so as to overcome the drawbacks of easily getting stuck in local minim in conventional Hopfield neural networks. It can reach a stable convergent state after shortly reversed bifurcations. Simulations are also shown that the proposed algorithm is both efficient and effective in the routing selection, meanwhile the algorithm can adjust the balance between the shortest path and the least load requirements according to the link load status of the network.