An iterative algorithm for delay-constrained minimum-cost multicasting
IEEE/ACM Transactions on Networking (TON)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A neural network approach to multicast routing in real-time communication networks
ICNP '95 Proceedings of the 1995 International Conference on Network Protocols
A GA-based Multi-purpose Optimization Algorithm for QoS Routing
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Bandwidth-delay-constrained least-cost multicast routing based on heuristic genetic algorithm
Computer Communications
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
Hi-index | 0.00 |
For multimedia applications, the routing algorithms should consider many Quality of Service (QoS) parameters. However, to find routes with two or more QoS parameters is an NP-hard problem. Therefore, recently many researchers are trying to use heuristic methods such as Genetic Algorithm (GA). In a previous work, a QoS multicast routing based on GA was proposed. However, in this algorithm, the multicast routing falls in the local minimum and cannot satisfy the application requirements. In this paper, we propose a new QoS multicast routing protocol, which has better genetic operations than the conventional algorithm, resulting in a better performance.