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A QoS routing algorithm based on Culture-Ant Colony Algorithm

机译:基于文化蚁群算法的QoS路由算法

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QoS routing problem is a typical nonlinear combination optimization problem, which has been proved to be a NP complete problem. According to the defects of solving the problem by Ant Colony Algorithms (ACA), a QoS routing algorithm based on Culture-Ant Colony Algorithms is put forward in this paper. Bringing ACA into the framework of Culture Algorithms, the algorithm adopts the two evolution frame (the population space and the belief space) to draw and manage the evolution information effectively, and instructs the routing process of ant colony in the population space by using that information. The simulation indicates the algorithm receives a satisfactory result for the convergence speed and global searching capability are both advanced to a great extent.
机译:QoS路由问题是典型的非线性组合优化问题,已被证明是NP完全问题。针对蚁群算法(ACA)解决问题的缺点,提出了一种基于文化蚁群算法的QoS路由算法。将ACA引入文化算法框架,该算法采用两个进化框架(种群空间和信念空间)有效地绘制和管理进化信息,并利用该信息指示蚁群在种群空间中的路由过程。仿真表明,该算法在收敛速度和全局搜索能力上都得到了很大的提高,取得了令人满意的结果。

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