基于蚁群算法的理性自适应路由研究

Research of Rationally Adaptive Routing Based on Ant Colony Algorithms

动态路由是随着网络动态拓扑结构和通信流量的变化而自动调整的过程,其性能的优劣对整个网络的性能至关重要。本文介绍了基于蚁群算法对动态路由问题进行优化的理性研究,采用蚁群优化算法搜集网络最新信息,通过改进选择策略,动态更新路由表项和节点状态信息,解决网络的负载均衡问题,提高网络性能。

With the changes and trends of the topological structure of network, dynamic routing will be adjusted automatically for the flow of communications, the quality of its performance is essential to the performance of the whole network, On the basis of ant colony algorithms, the paper carries out a rational research of dynamic routing, and adopts ant colony optimization algorithms to collect the latest information of the network, upgrades the route form and nodal status information dynamically through improving the tactics of choice, solves the load balancing problem of the network, and thus improves the network performance.