摘要
蚁群算法在直连网络中是一种能综合考虑路由经验和当前网络状态的智能路由算法,但其对路由概率的估计较为随机化,存在着误差。针对这种随机误差,笔者提出了一种融合随机游走模型的路由算法,通过随机游走概率估计蚁群算法中的路由概率,在一定程度上能使蚁群算法的效果更好。
Ant colony algorithm is a kind of intelligent routing algorithm which can comprehensively consider the routing experience and current network state in the direct connection network,but its estimation of routing probability is more randomized and there are errors.In view of this kind of random error,the author proposes a routing algorithm based on the random walk model,which estimates the routing probability in the ant colony algorithm by the random walk probability,to a certain extent,can make the effect of the ant colony algorithm better.
作者
汤伟韬
高珊
Tang Weitao;Gao Shan(Hubei University,Wuhan Hubi 430062,China)
出处
《信息与电脑》
2020年第7期50-52,共3页
Information & Computer
关键词
直连网络
蚁群算法
随机游走模型
路由概率
路由算法
directly connected network
antNet
random walk model
routing probability
routing algorithm
