基于SA-GA混合算法的动车组车辆轮重分配优化

针对动车组车辆出厂前存在的轮重偏差问题，建立动车组车辆轮重调节力学模型，利用模拟退火算法（SA）的机制和遗传算法（GA）非均匀变异思想，提出了一种模拟退火遗传（SA-GA）混合算法，并利用该混合算法对车辆轮重调节力学模型进行数值求解， 结果显示: 轮重偏差降低到1.2%以下，符合GB/T 3317—2006的规定.同时使用SIMPACK软件仿真，将该仿真结果与数值计算结果对比分析，结果显示:基于SA GA混合算法的计算结果是正确的，这为快速优化轮重分配结果提供了一种有效的计算方法.

Optimization of Wheel Weight Distribution for EMU Vehicles Based on the SA GA Hybrid Algorithm

Aimed at the wheel weight deviation of EMU vehicles before leaving the factory, a mechanical model for wheel weight adjustment was established. An SA-GA hybrid algorithm proposed with the mechanism of the simulated annealing (SA) algorithm and the non-uniform mutation idea of the genetic algorithm (GA), and the mechanical model for vehicle wheel weight adjustment was numerically solved with this hybrid algorithm. The results show that, the wheel weight deviation can be reduced to less than 1.2%, which conforms to the regulations of GB/T 3317-2006. At the same time, the simulation results were compared with the numerical calculation results from the Simpack software. The comparison shows that, the calculation results based on the SA-GA hybrid algorithm are correct, and the work provides an effective calculation method for quickly optimizing the wheel weight distribution.