Dynamic routing strategy in telecommunication networks based on immune algorithm

An improved immune algorithm is presented in this paper to solve the problem of dynamic routing strategy and slow-footed routing that has a difficulty of finding the optimized routing during the course of implementing the dynamic routing strategy in telephone networks. This immune algorithm has an excellent overall optimization with immune function based on badness gene combination model that makes easy for a user to directly utilize the characteristic information of a pending problem and searching accuracy that are both improved. Based on the experimental results and theory analysis, compared to genetic algorithm, the immune algorithm performs optimization route schemes with high precision in very short time and it greatly reduces the traffic loss rate in telephone networks.