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Optimal Design of Delay-Bounded WDM Networks using a Genetic Algorithm

机译:基于遗传算法的时延有界WDM网络的优化设计

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We address the problem of real-time delay-bounded multicasting in wavelength-division multiplexed networks to avoid problems of synchronization between video and audio frames. We describe a genetic algorithm based technique to synthesize WDM network topologies that can, with a very high degree of confidence, assure that the multicast traffic is delivered in user-specified limits on time. Unlike existing approaches to WDM network design, we first find a virtual topology that can meet the delay constraints. An embedding of virtual links into physical links is then carried out, followed by an assignment of wavelengths to virtual links. The problem of finding the virtual topology is difficult because of a large number of parameters. A number of heuristic approaches have been proposed to solve such optimization problems. In our approach we aim to explore the suitability of Genetic Algorithms to solve the WDM network design problem. A genetic algorithm can explore a far greater range of potential solutions to a problem than do conventional approaches. The advantage of a genetic algorithm, compared with other algorithms which use a single initial guess e.g. gradient, descent is to use more information of estimation region, and to decrease the probability of falling into local minimum. We describe quantitative and qualitative results obtained by using our software tool on several benchmark examples.
机译:我们解决了波分多路复用网络中实时延迟限制多播的问题,以避免视频和音频帧之间的同步问题。我们描述了一种基于遗传算法的技术来合成WDM网络拓扑,该技术可以以非常高的置信度确保在用户指定的时间限制内传送多播流量。与现有的WDM网络设计方法不同,我们首先找到可以满足延迟约束的虚拟拓扑。然后将虚拟链路嵌入到物理链路中,然后将波长分配给虚拟链路。由于存在大量参数,因此很难找到虚拟拓扑。已经提出了许多启发式方法来解决这种优化问题。在我们的方法中,我们旨在探索遗传算法解决WDM网络设计问题的适用性。与传统方法相比,遗传算法可以探索更大范围的潜在问题解决方案。与使用单一初始猜测的其他算法相比,遗传算法的优势梯度下降是为了使用更多估计区域的信息,并降低陷入局部最小值的可能性。我们在几个基准示例中描述了使用我们的软件工具获得的定量和定性结果。

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