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FAST CONVERGING EVOLUTIONARY STRATEGY FOR MULTI-CONSTRAINT QOS ROUTING IN COMPUTER NETWORKS USING NEW DECODING MECHANISM

机译:基于新解码机制的计算机网络多约束QoS路由快速收敛进化策略

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摘要

In recent years, real-time multimedia applications' demands such as Voice-on-IP (VoIP) and video conference are extremely increased which require QoS routing. This type of routing has been considered as an NP-Complete problem since it requires satisfying multiple constraints. Many solutions have been proposed to solve it, but most of them are complex and time consuming. In this paper, a novel multi-constraints QoS routing algorithm is proposed based on Evolutionary Strategies (ES). The algorithm preserves simplicity and offers a feasible solution in a few numbers of generations. This is due to a novel gene decoding mechanism that is used in the algorithm; and consequently more simple evolutionary operators can be applied. The simulation results show that our method outperforms previous algorithms in terms of speed and performance, so that it is 2.6 and 11.3 times faster, and its success ratio is also better.
机译:近年来,诸如IP语音(VoIP)和视频会议之类的实时多媒体应用的需求大大增加,这需要QoS路由。这种类型的路由被认为是NP完全问题,因为它需要满足多个约束。已经提出了许多解决方案来解决该问题,但是大多数解决方案都是复杂且耗时的。本文提出了一种基于进化策略的多约束QoS路由算法。该算法保留了简单性,并在几代后提供了可行的解决方案。这是由于算法中使用了一种新颖的基因解码机制。因此可以应用更简单的进化算子。仿真结果表明,该方法在速度和性能上均优于以前的算法,速度分别提高了2.6和11.3倍,成功率也更高。

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