A Quantum MMAS Based Algorithm for Multicast Routing Problem

Abstract

For solving the problem of multicast routing, ant colony algorithm (ACO) has insufficient optimization ability. The paper proposes a routing algorithm which combines quantum computing and max min ACO. The algorithm uses quantum bit probability amplitude to encode the link, and dynamically adjusts quantum revolving gate to update the quantum coding on the link, so as to meet the cost optimization under constraint conditions, combined with the maximum and minimum pheromone decision mechanism to find the optimal link path, effectively control the evolution speed and direction, and enhance the convergence performance of the algorithm. The simulation results show that the algorithm can effectively control the evolution speed and direction, and is better than ant colony algorithm in the optimization ability and convergence performance.