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An Improved Decision Strategy of Network Routing Based on Ant Colony Algorithm

机译:基于蚁群算法的网络路由改进决策策略

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Aiming at getting a high efficient network routing decision strategy, to settle problems of slow convergence speed and easily to fall into local optimal, this paper proposes a new decision strategy based on ant colony algorithm. Memory device to record each time pheromone value and pheromone differences value of the adjacent times to decide follow the former route or find a new one are the focus of this paper. The new decision technology accelerates the convergence rate, improves network utilization rate and accuracy of network routing.
机译:旨在获得高效的网络路由决策策略,解决速度缓慢速度的问题,并且容易地落入本地最佳,提出了一种基于蚁群算法的新决策策略。记忆设备以记录每次信息素值和信息素值和信息素差异的相邻时间来决定遵循以前的路线,或者找到新的是本文的重点。新决策技术加速了收敛速度,提高了网络利用率和网络路由的准确性。

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