Author/Authors :
Mala ، C نويسنده Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India-620015 , , Rajagopalan، Narendran نويسنده Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India-620015 ,
Abstract :
In this paper we intend to solve Quality of Service(QoS) multicast routing problem using Particle Swarm Optimization technique. A fitness function is used to implement the constraints specified by the Quality of Service conditions. The inclusion of extra parameters in the fitness function resulted in efficient convergence with minimal computational cost. Multiple groups were implemented and a number of multicast trees were obtained as part of the solution. The experimental results dealt with relations between the number of nodes in the input graph, number of particles present in the system and the number of iterations required for convergence. The results also analyze the performance of the system when multiple groups are present.
