基于蚁群算法的既有铁路整正优化设计

Optimization Design of Existing Railway Alignment Based on Ant Colony Algorithm

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。

The rapid development of railway calls for high smoothness,and highly-efficient maintenance of existing railway.With excellent performance of ant colony algorithm in spatial combination optimization,the research explored the overall design method of plane curves.By using spatial curve fitting algorithm and curvature variation characteristics of plane curves,then combined with rough&iteration exact segmentation,the curve elements and coordinates of the initial intersections were determined.All initial intersection coordinates of existing tracks into grids were divided,and the optimal intersection combinations were obtained by applying ant colony optimization.The grids was gradually reduced to optimize the ant colony,and the optimal curve elements and track realignment volume that meeting various constraint conditions were obtained.The overall optimization algorithm design of railway plane realignment was achieved.The result shows that the algorithm surpasses traditional methods in acquiring optimal railway parameters.It can get acquiring minimum track lining volume when compared with the traditional optimization design method.