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A Genetic Algorithm Approach for Static Routing and Wavelength Assignment in All-Optical WDM Networks

机译:全光WDM网络中静态路由和波长分配的遗传算法方法

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In order to transmit data efficiently over an optical network, many routing and wavelength assignment (RWA) algorithms have been proposed. This work presents a genetic algorithm that aims at solving the RWA problem, which consists of choosing the most suitable lightpath (i.e., a combination of a route and a wavelength channel) between a source-destination pair of nodes in all-optical networks. A comparison to some already known approaches in terms of blocking probability was made. Results show a reasonable performance, since the average blocking probability achieved by the genetic algorithm was lower than or relatively equivalent to the standard approaches compared.
机译:为了高效地通过光网络传输数据,已经提出了许多路由和波长分配(RWA)算法。该工作提出了一种遗传算法,其旨在解决RWA问题,该遗传算法包括选择最合适的LightPath(即,路线和波长信道的组合),在所有光网络中的节点源对节点之间。对封闭概率的一些已经已知的方法进行了比较。结果表明了合理的性能,因为遗传算法所实现的平均阻塞概率低于或相对等同于相比的标准方法。

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