Multicast routing for multimedia communication
IEEE/ACM Transactions on Networking (TON)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms for Scan Path Design
VLSID '96 Proceedings of the 9th International Conference on VLSI Design: VLSI in Mobile Communication
A Genetic Algorithm for Steiner Tree Optimization with Multiple Constraints Using Prüfer Number
EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
Multicast routing with multiple constraints in high-speed networks based on genetic algorithms
ICCC '02 Proceedings of the 15th international conference on Computer communication
The Study on a New Immune Optimization Routing Model
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Adaptive shifting of auxiliary strategies over three formulations of multicast routing problem
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
GA-based heuristic algorithms for bandwidth-delay-constrained least-cost multicast routing
Computer Communications
Bandwidth-delay-constrained least-cost multicast routing based on heuristic genetic algorithm
Computer Communications
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In multimedia communication networks, the problem of multicasting assumes a new dimension. Apart from minimizing the cost of multicast communication, it is also necessary to ensure that each of the destination nodes receives the message within a bounded delay. Such delay-bounded multicast applications typically arise in multimedia conferencing. In this paper, we present a genetic algorithm for solving the delay-bounded multicast problem. We assume source-based routing, i.e. each source node completely determines the Steiner tree along which multicasting is performed. The genetic algorithm is a powerful optimization tool, and our experimental results reveal that a genetic algorithm provides fast and superior quality solutions to the delay-bounded multicast problem.