谁能帮我翻译一下，真是万分感谢！

来源：百度知道 编辑：UC知道 时间：2024/06/01 17:14:36
Avoidance of Stagnation and Quick Convergence: Stagnation can be depicted as the situation where algorithm stops searching for new paths. If the selection of ∂ is not proper, the efficiency of probabilistic selection (based on the pheromone trail density and visibility) is hampered. This causes stagnation by making the search procedure as biased search procedure. Aforementioned problem is resolved by generating a random number ’s’, that is to be compared with the intensity of pheromone trails. For very high pheromone trail Γi,j ,’s’ will be very small and for very low pheromone trail the same ’s’ is very large. Depending on ’s’ if the trail is insignificant, ants overlook the path and randomly select the next node. Thus there is always a possibility to look for new paths and in turn stagnation is avoided. Another problem encountered is pertaining to the swift convergence of the algorithm. This problem is tackled using a parameter
’µo’ which is de@

避免停滞和快速收敛：滞可以描绘成的情况下算法停止寻找新的路径。如果选择∂是不恰当的，高效率的概率选择（根据信息素踪迹密度和知名度）而受到阻碍。这会导致停滞，使搜索过程有偏见的搜索程序。上述问题得到解决，产生一个随机数的' ，这是比较激烈的信息素步道。为非常高的信息素踪迹Γi ，强，的'将是非常小的和非常低的性信息素径相同的'是非常大的。视之，如果线索是微不足道的，蚂蚁忽视的路径和随机选择下一个节点。因此，始终有可能寻找新的途径，从而避免停滞。遇到的另一个问题是关于迅速收敛性。这个问题是解决使用参数
' μo '的定义是：