Abstract
In this study, we aim to develop a system optimization model of Railway Freight Transportation Routing Design (RFTRD) and conduct solution analysis which is based on the improved multi-objective swarm intelligence algorithm. The proposed improved multi-objective swarm intelligence algorithm is applied to solve the combinatorial optimization problem of railway door-to-door freight transportation through design, and provide decision support for railway vehicle door-to-door freight transportation through design. The optimization results shows that, the random multi-neighborhood based multi-objective shuffled frog-leaping algorithm with path relinking (RMN-MOSFLA-PR) can be better applied to solve the combined multi-objective optimization problem, and this proposed improved algorithm can find Pareto frontier through the comparative analysis in the design example of railway door-to-door freight transportation. The frontier can provide support for railway transportation enterprises, arrange the decision-making of the starting and ending stations for multiple shippers, and optimize the use of existing transportation resources, so as to reduce the transportation cost and time of the system.
Highlights
Railway transportation is an important form of modern transportation
DESIGN INFLUENCING FACTORS Firstly, we introduce the design of influencing factors
1) TRANSPORTATION COST According to the basic requirements of activity-based costing, the production process of railway door-to-door freight transportation is divided into different operation links
Summary
Railway transportation is an important form of modern transportation. It has the characteristics of low cost, environmental protection, high reliability, accuracy and continuity. Railroad corporations provide two main products for industrial customers who want to transport goods by rail: large customers order 20 to 40 trains in batches, providing fixed group transportation of locomotives directly from the origin to the destination; on the other hand, small customers order 1 to 5 trains. In this case, it is too expensive to provide a single locomotive for each customer through the network, instead of the trains being pulled to the marshalling station, and other customers’ train formation, as a new train is pulled to the marshalling station, that is, the train is decomposed and reorganized with other trains until all. In the process of railway freight transportation, railway transport enterprises, based on the constraints of cost and resources, restrict the weight and length of trains, which makes their design problems more complex
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