中文摘要：

在满足行车安全、区间固定限速、图定区间运行时间及车辆动力学性能约束的条件下,以能耗、实际区间运行时间、精确停车及不舒适度为指标建立高速列车运行操纵多目标优化模型.针对传统差分进化算法易陷入局部最优的问题,对其交叉操作过程进行改进,同时引入模拟退火思想提升算法的最优解搜索能力.利用改进后的差分进化算法对高速列车运行操纵多目标优化模型进行求解,给出相应的优化算法.以京沪高速铁路某区间线路数据为基础,通过计算机仿真验证了所提算法的有效性与实用性.

英文摘要：

The multi-objective operation optimization model for high-speed trains was established subject to the constraints of traffic safety,velocity limitation,running time and dynamic vehicle performance and with the energy consumption,travel time,accurate stopping and comfort level as the optimization indexes.In order to solve the local optimum problem of the traditional differential evolution algorithm,the improved crossover operation method was designed and the idea of simulated annealing was introduced into enhance the ability to search for the optimal solution.The optimal algorithm for multi-object high-speed train operation optimization was proposed on the basis of the modified differential evolution algorithm.Taking data measured in a section of the Beijing-Shanghai High-speed Railway Line as basic data,the effectiveness and practicality of the proposed algorithm were verified by computer simulation.