Multiple constraints QoS multicast routing optimization algorithm based on Genetic Tabu Search Algorithm

With the fast evolution of real time and multimedia applications, some quality of service (QoS) constraints need to be guaranteed in the underlying network. In this paper, we present a new method for least-cost QoS multicast routing problem based on genetic algorithm and tabu search. This problem has been proven to be NP-complete. The proposed genetic tabu search algorithm (GTS) combine Genetic Algorithm and Tabu Search adequately in order to improve the computing performance. In our method the chromosomes of the multicast tree represented by tree structure coding scheme. This coding scheme simplifies the coding operation and omits the coding and decoding process. A new population initialization method based on Prim's algorithm is proposed. This method ensures that every chromosome is a reasonable multicast tree without loops. The proposed algorithm is then compared with one of existing multicasting algorithms. The simulation results show that our method has high speed of convergence and effective in solving the considered problem.