dynamic routing optimization

基本解释

Ant Colony Optimization methods of self-organization, dynamic and multi-path make it particularly suited to the characteristics of wireless sensor networks for routing.
蚁群优化方法的自组织、动态和多路径的特性使其特别适合应用于无线传感器网络的路由。
This paper further extends the idea of this new biological optimization strategy to vehicle routing problem with time windows in logistic management and designs a new kind of dynamic ant algorithm.
将这种新型的生物优化思想扩展到物流管理中的带时间窗车辆路径问题，设计了一种动态蚁群算法，从数值计算上探索了这种新型蚁群算法的优化能力，获得了满意的效果。