基于蚁群算法的既有铁路整正优化设计

为了提高既有线路整正维修效率以及满足铁路快速发展对线路高平顺性的要求,结合蚁群算法在空间组合优化的优良性能,研究了基于蚁群算法的既有线平面多曲线整体整正优化设计方法.首先利用空间曲线拟合算法,结合平面线形的曲率变化特征,采用概略分段与迭代精确分段相结合的方式,确定初始交点坐标及曲线参数信息.以既有线所有初始交点坐标为基准,进行交点坐标网格划分,运用蚁群算法全局寻优的方式得到最优的交点组合.逐步缩小网格进行蚁群寻优,最终得到满足各类约束的线形参数组合及最优拨道量值,实现线路平面整正的整体优化算法设计.并结合实测数据进行相关计算分析,计算结果显示蚁群优化算法较传统的优化设计方法在获取最优线路参数,实现整体拨道量最小方面可以获取满意效果.

Optimization Design of Existing Railway Alignment based on Ant Colony Algorithm

In order to improve the maintenance efficiency of the existing line and meet the requirements of the rapid development of the railway for the high smoothness of the line, this paper studies the optimization design method of the existing line plane multi curve integral rectification based on the ant colony algorithm combined with the excellent performance of the ant colony algorithm in the spatial combination optimization. First, the initial intersection coordinates and curve parameter information are determined by using the spatial curve fitting algorithm, combining the curvature change characteristics of the plane alignment, using the combination of rough segmentation and iterative accurate segmentation. Based on all the original intersection coordinates of the existing line, the intersection coordinate grid is divided, and the optimal intersection combination is obtained by using ant colony algorithm. Finally, the combination of linear parameters and the optimal amount of lane assignment are obtained to meet all kinds of constraints, and the overall optimization algorithm design of line plane alignment is realized. The results show that the ant colony optimization algorithm can obtain satisfactory results compared with the traditional optimization design method in obtaining the optimal line parameters and achieving the minimum overall amount of shunting.