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Particle Swarm Optimization algorithm for QoS rout
4.0
The application of particle swarm optimization in the field of discrete optimization is relatively rare. In order to apply particle swarm optimization in the field of QoS routing, and not deviate from the basic idea of particle swarm optimization, a "⊕ operator" is defined and designed, and a new algorithm is designed
hhl2007 0 0
1
QoS multicast routing problem based on Ant Colony
3.8
QoS multicast routing is a research hotspot in the field of network routing optimization and computational intelligence. The QoS constraints here include common delay, delay jitter, bandwidth and packet loss rate. The optimization objective is to minimize the cost of multicast tree. This problem has been proved to be NP complete, and conventional algorithms are usually difficult to achieve ideal results. With its unique heuristic rules and distributed characteristics, ant colony algorithm has been successfully applied in QoS multicast routing.
hhl2007 5 0
1
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