关键词: 高铁列车, 冗余时间, 优化模型, 遗传算法, 粒子群算法

Abstract: Analyzing interactions among various redundant time, a mathematical model is established for redundancy optimization layout. The optimization targets are to minimize traveling time, departure delay time of train and delay time at stop. The algorithm based on genetic algorithm and particle swarm optimization is applied to solve the model by the software MATLAB. Simulation analysis is made with the background of virtual operation schedules by the reasonably designed statistic indexes and simulation schemes of train delays. The results show that the model and algorithm to get the layout of the layout scheme compared with layout scheme based on the fixed ratio, the delay time is short, the number of train delays in the interval and the station are substantially short, compared with layout scheme based on genetic algorithm, the total delay time is short, always redundant set more time, but he number of train delays in the interval and the station are less than layout scheme based on genetic algorithm’s.

Key words: high-speed railway train, redundant time, optimization model, genetic algorithm, particle swarm optimization