基于实数遗传算法的列车优化操纵曲线研究

列车优化操纵是列车节能控制的关键问题，以列车运行动力学方程和牵引计算理论为基础，结合列车运行过程中的要求，构建以能耗、时分误差、限速等为目标的列车节能控制模型，采用实数遗传算法，通过Visual Basic编程对此问题进行求解。在已知列车编组的条件下，以DF4型内燃机车牵引客车、空气制动和燃油量曲线为基础，得到给定运行时间、距离条件下的优化操纵曲线，从而对司机操纵给出指导性意见。

Investigation on Optimization of Operation Curve Based on the Real Coding of Genetic Algorithm

The optimum operation of train is the key to reduce the energy consumed. Based on the dynamic equation and traction calculation, at the same time including the command of train operation, the energy - saving control module could be built to attain the purpose of minimizing the consumed energy, time error and limited speed. The real coding of Genetic Algorithm and VB computer language is the important method to solve the problem. As the known of train muting modes, driving, power braking and fuel gauge data of DF4, the optimized curve which has a giving time and distance could be calculated, perhaps it also has a chance to providing the suggestion to drivers.