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Efficient Load Balancing for a Resilient Packet Ring Using Artificial Bee Colony

机译:使用人工蜂群的弹性分组环的有效负载平衡

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摘要

Resilient Packet Ring (RPR), also known as IEEE 802.17, is a standard designed for optimising the transport of data traffic over optical fiber ring networks. The Weighted Ring Arc-Loading Problem (WRALP) is a NP-complete problem that arises in engineering and planning of the RPR systems. Specifically, for a given set of non-split and uni-directional point-to-point demands (weights), the objective is to find the routing for each demand (i.e., assignment of the demand to either clockwise or counter-clockwise ring) so that the maximum arc load will be minimised. This paper suggests an efficient traffic loading algorithm- Artificial Bee Colony (ABC). We compare our results with the ones obtained by the standard Genetic Algorithm, Tabu Search Algorithm and Particle Swarm Optimisation, used in literature. Simulation results verify the effectiveness of the ABC algorithm.
机译:弹性分组环(RPR),也称为IEEE 802.17,是一种用于优化通过光纤环网的数据流量传输的标准。加权环形弧荷载问题(WRALP)是RPR系统的工程和规划中出现的一个NP完全问题。具体来说,对于给定的一组非拆分和单向点对点需求(权重),目标是找到每个需求的路由(即,将需求分配给顺时针或逆时针振铃)这样最大的电弧负载将被最小化。本文提出了一种有效的流量加载算法-人工蜂群(ABC)。我们将结果与文献中使用的标准遗传算法,禁忌搜索算法和粒子群优化所获得的结果进行比较。仿真结果验证了ABC算法的有效性。

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