基于蚁群算法和遗传算法集成的QoE评价方法

Ying Bao, Zhaozheng Li, Qian Wei
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引用次数: 0

摘要

提出了一种基于蚁群算法和遗传算法相结合的覆盖网络多径传输模式下的QoE评价算法。该算法在原有QoE协同评价机制的基础上,结合遗传算法的优胜劣汰模式和蚁群算法的时效性对服务器端QoE评价信息进行优化。使QoE协同评价机制能够更准确地评价或预测媒体服务,优化服务器端媒体传播服务的QoE协同评价方法。最后,通过高清流媒体业务验证了该算法的有效性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoE Evaluation Method Based on Integration of Ant Colony Algorithm and Genetic Algorithm
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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