Optimization model and particle swarm optimization algorithm of operation plan for scheduled freight train

Abstract

Conventional researches on optimization model and algorithm of operation plan for scheduled freight train usually neglected shippers' demands and suffered from solving the vast calculation task of large-scale railway network. Therefore, this study aimed at establishing new optimization model based on fully considering shippers' demands, as well as putting up with more efficient solution algorithm. The model took maximum satisfied degree of shippers' and minimum operation cost of railway enterprise as objectives, while took service frequency, transit time range, as constraints. The designed algorithm was on the basis of particle swarm optimization which was suitable for multi-objective problem and large-scale network. The study results showed that the model synthetically reflected the profits of both railway enterprise and shippers and the solution time could meet the demand of railway, meanwhile, the algorithm had strong robustness. © 2013 Asian Network for Scientific Information.