The study on the optimal routing problem based on hybrid algorithm for QoS

Now, the dynamic solution is put forward for the QoS of network service problems, the solution is to integrate the mixture of differential evolutionary algorithm and ant colony algorithm into the QoS routing, and the solution adjusts the local pheromone updating strategy dynamically. The optimal global pheromone improves the global convergence of the algorithm. The simulation results show that DE-ACO algorithm is effective to deal with the problem of routing. At the same time, DE-ACO algorithm compares with the traditional QoS multicast routing algorithm in convergence and convergence speed. DEACO algorithm has been greatly improved.