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基于改进最大-最小蚁群算法的QoS路由算法 被引量:2

QoS Routing Algorithm Based on Improved Max-Min ant Colony Algorithm
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摘要 针对蚁群算法在QoS路由应用上的收敛速度慢和易陷入局部最优等缺陷,提出了一种"基于改进的最大-最小蚁群算法的QoS路由算法",在算法中改进节点选择策略,并将最大-最小蚁群算法与局部搜索结合起来,有效抑制算法的过早收敛,提高了全局寻优能力和收敛速度,使QoS路由优化问题得到很好的解决. For the defects of slow convergence and easy tO fall into local optimum in the ant colony algorithm for QoS routing application , a"QoS routing algorithm based on improved Max-Min ant colony algorithm" is proposed in this paper. The node selection strategy is improved and Max-Min ant colony algorithm is combined with local search. It can maintain the diversity of features, effectively inhibit premature convergence of the algorithm, improve the ability of global optimization and convergence rate, so that the QoS routing optimization problem was effectively solved.
出处 《广西民族大学学报(自然科学版)》 CAS 2009年第4期98-102,105,共6页 Journal of Guangxi Minzu University :Natural Science Edition
基金 广西民族大学2009年度院级科研项目(2009SJ05)
关键词 QOS路由 最大-最小蚁群算法 局部搜索 节点选择策略 QoS routing Max-- Min ant colony algorithm local search node selection strategy
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参考文献6

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共引文献25

同被引文献22

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