Resource-Expandable Railway Freight Transportation Routing Optimization

This paper improved the algorithm of swarm intelligence, and the adaptability of improved algorithm in the design of door-to-door full-loaded transportation of railway goods was analyzed. The optimization model of the door-to-door full-loaded transportation routing design was extended to the resource-expandable optimization model of the door-to-door full-loaded transportation routing design to explore the influence of the change of railway and highway transportation distance on the system optimization. The improved algorithm of swarm intelligence was applied to solve the selected benchmark cases, and the comparison and analysis were conducted from both quantitative and qualitative aspects to verify their performance in solving continuous optimization problems. Two improved methods of intelligent algorithm were applied to the calculation example based on the coding system of the problem of the door-to-door transportation routing design of the resource-expandable railway freight, and the performance of their application to the optimization model of the route design system was verified. Then, input the compromise solutions into Simio for simulation analysis. The results of this paper can provide decision support for the routing design and decision reference for the location of the new station, and support the layout optimization of the stations for the railway transportation enterprises.