Optimal Path Selection of Logistics Distribution Based on Improved Dijkstra Algorithm

In the modern context, the concept of optimal path in logistics distribution has gone beyond the simple shortest geographical distance, but covers more diversified optimization objectives. It may involve minimizing transportation time, saving costs, maximizing line capacity and other aspects. In view of this, this article proposes a dynamic weight-constrained optimization version of the Dijkstra algorithm. By flexibly integrating the constraints in actual operation, the algorithm realizes the dynamic construction of the network, greatly reduces the number of unnecessary links, and significantly improves the efficiency of finding the optimal path. Through experimental verification and application practice in real logistics systems, it is proved that the algorithm can accurately meet the diversified needs of logistics systems for path selection, and shows significant application potential and advantages.