摘要
讨论了在起伏坡道线路上运行的列车节能操纵的优化计算问题，给出了一种局部优化与全局优化相配合的计算结构，用以生成列车优化操纵的速度模式曲线。以仿真计算获得局部优化规律，用神经网络实现局部优化规律的数据组织，应用遗传算法进行全局优化计算，获得了令人满意的结果。
In this paper, the optimization computation problem of saving energy for the train travelling on the undulating slope line is discussed. To generate the velocity schema curve of optimization operation for train, a computation model combined local optimization with global optimization is proposed. The local optimization numerical functions are obtained from the simulation computation and the construction of those datum is realized by neural network. The global optimization computation using genetic algorithm generates the velocity schema curve. The result is satisfactory.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
1998年第5期47-52,共6页
Journal of the China Railway Society
基金
国家自然科学基金
关键词
列车
优化操纵
遗传算法
速度模式曲线
节能操纵
optimization operation for train
energy saving
optimization
genetic algorithm
neural network
