遗传算法在铁路客车横向稳定性多参数优化中的应用  

An Application of Genetic Algorithm to Multiparameter Optimization of Lateral Stability in Railway Passenger Train

作　　者：原亮明[1] 郭继斌 吴作伟[1] 杨辉[2] 

机构地区：[1]北方交通大学机械与电气工程学院 [2]上海交通大学工程力学系

出　　处：《北方交通大学学报》1998年第4期75-78,共4页Journal of Northern Jiaotong University

摘　　要：以典型铁路客车的动力学模型为研究对象，以车辆最大可行速度为目标函数，采用遗传算法对其横向稳定性参数进行了最优化的计算研究．结果表明：遗传算法在求解车辆动力学系统的参数优化问题中具有很好的适用性．尤其是对于多参数、多峰的非线性问题，该法提供了求解问题全局最优解的可能性．Genetic algorithm is used to carry out the parameter optimization of lateral stability in railway passenger train. The optimal model is a typical dynamic one of railway passenger train and object function is the maximal permitted running speed of the train. The result indicates that genetic algorithm holds better suitability in solving parameter optimization problem of vehicle dynamic system. This method offers the possibility of getting wholly optimal result,particularly to the nonlinear problem with multiparameter and multi peak function.

关 键 词：遗传算法 横向稳定性 多参数优化 铁路客车 

分 类 号：U271.011[机械工程—车辆工程]