网络设备的性能例如防火墙,路由器,等等,被补丁匹配的效率决定。改编包与包匹配的速度是困难的由传统的算法的线性提交。这份报纸的目的是开发包基于改进微分进化算法匹配的一个新奇算法,它也与匹配算法改进算法的表演的经典的包结合。为客观性的缘故,统计方法被用来计算恰当的价值。实验证明这个新算法有效地处于速度和存储空间改进了表演,作为与传统的相比。第一次,进化算法被用来解决提交的网络数据包,并且包能以线性速度被提交。另外,这个新算法是通用的,因此它能为许多设备被改编。
The performance of network equipments, such as firewall, router, etc., is decided by the efficiency of patch matching. It is difficult to adapt the speed of packet matching with packets linear forwarding by traditional algorithms. The purpose of this paper is to develop a novel algorithm of packet matching based on improving differential evolutionary algorithm, which also combines with classic packets matching algorithms to improve the performance of algorithm. For the sake of objectivity, the statistics method was used to compute the fitting value. Experiments showed that this new algorithm effectively improved the performance in the speed and storage space, as compared with the traditional one. For the first time, evolutionary algorithm is used to solve the network data packet forwarding, and packets can be forwarded at the linear speed. In addition, this new algorithm is universal, so it can be adapted for many equipment.