Research on the Network Congestion Control Based on GA-PSO Path Optimization
Jin Xia Ren, Hao Yang Guo · Applied Mechanics and Materials · 2014
Based on the integration of the genetic algorithm and particle swarm algorithm, a network congestion control method is proposed for path optimization, which takes the load balanced distribution function and the resource consumption function as optimization target and optimizes path under the condition of meeting a number of QoS metrics such as bandwidth, delay, expense. Aiming at avoidance of network congestion, the approach attempt to minimize the network resource consumption and balance the distribution of network load. Simulation results show that the method is effective and reliable.