Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Computer Networks
A New QoS Routing Approach for Multimedia Applications Based on Genetic Algorithms
CW '02 Proceedings of the First International Symposium on Cyber Worlds (CW'02)
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
Concepts of exact QoS routing algorithms
IEEE/ACM Transactions on Networking (TON)
Finding a path subject to many additive QoS constraints
IEEE/ACM Transactions on Networking (TON)
Multiple path routing algorithm for IP networks
Computer Communications
Dynamic multi constraint multi path QoS routing algorithm (DMCMPRA)
WOC '08 Proceedings of the Eighth IASTED International Conference on Wireless and Optical Communications
Routing multimedia traffic with QoS guarantees
IEEE Transactions on Multimedia
QoS routing based on genetic algorithm
Computer Communications
TAMCRA: a tunable accuracy multiple constraints routing algorithm
Computer Communications
Quality-of-service routing for supporting multimedia applications
IEEE Journal on Selected Areas in Communications
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Real-time distributed multimedia applications have special requirements in terms of bandwidth, delay, jitter, etc. The current IP network is suitable for applications such as e-mail, ftp, etc., but not suitable for real time multimedia applications that demand different QoS requirements from the underlying network. In order to make the network suitable for such applications many QoS routing algorithms have been proposed. The problem of finding a path which satisfies multiple constraints is a NP-complete problem. Hence, various heuristics have been proposed to find a path that satisfies multiple constraints. To search all feasible paths in less time, many researchers have used the concept of genetic algorithm (GA). This GA approach has been used in this paper to improve the path search time of the existing dynamic multi constraint multi path QoS routing algorithm (DMCMPRA). The simulation results of the improved algorithm are discussed in this paper.