This paper proposed a QoE evaluation algorithm based on the combination of ant colony algorithm and genetic algorithm under the mode of multipath transmission in overlay network. On the basis of the original QoE collaborative evaluation mechanism, the algorithm combined the survival of the fittest mode of genetic algorithm and the time effectiveness of ant colony algorithm to optimize the server side QoE evaluation information. So that the QoE collaborative evaluation mechanism could evaluate or predict the media service more accurately, and optimize the QoE collaborative evaluation method for media transmission service on the server side. Finally, the effectiveness and feasibility of the algorithm were verified by the high-definition streaming media service.
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QoE Evaluation Method Based on Integration of Ant Colony Algorithm and Genetic Algorithm
Semantic Scholar · Computer Science · 2020
Abstract
This paper proposed a QoE evaluation algorithm based on the combination of ant colony algorithm and genetic algorithm under the mode of multipath transmission in overlay network. On the basis of the original QoE collaborative evaluation mechanism, the algorithm combined the survival of the fittest mode of genetic algorithm and the time effectiveness of ant colony algorithm to optimize the server side QoE evaluation information. So that the QoE collaborative evaluation mechanism could evaluate or predict the media service more accurately, and optimize the QoE collaborative evaluation method for media transmission service on the server side. Finally, the effectiveness and feasibility of the algorithm were verified by the high-definition streaming media service.