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- W2363559443 abstract "Research network congestion control problem.The low convergence rate exists in genetic algorithm,which is easy to fall into the local optimal problem in network congestion control.In order to improve the speed and the effect of the network congestion control path optimization,a network congestion control path optimization method is put forward based on genetic algorithm and particle swarm algorithm.The combinatorial algorithm optimizes the initial population by using particle swarm optimization algorithm in prophase,accelerates the optimal speed;and then produces a new path plan by using genetic algorithm to avoid getting into the local optimum defects well,thus improves the path optimization speed and precision.Simulating experiments show that the combinational algorithm can overcome the defects,the obtained optimal path scheme is superior to the path optimization algorithm of traditional network congestion control,which makes the network load more balanced and avoids network congestion." @default.
- W2363559443 created "2016-06-24" @default.
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- W2363559443 date "2011-01-01" @default.
- W2363559443 modified "2023-09-24" @default.
- W2363559443 title "Network Congestion Control Method Based on Artificial Intelligence" @default.
- W2363559443 hasPublicationYear "2011" @default.
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