基于布谷鸟搜索算法的既有线整正
cnki(2021)
Abstract
获取合适的线路整正优化设计参数可以使线路整正总体拨量更小,降低线路整正维护工作量。文章提出了一种基于布谷鸟搜索算法的既有线整正方法。首先,采用最小二乘法建立前夹直线和后夹直线方程,并以此识别和计算出各个特征点;再结合布谷鸟搜索算法,以前后夹直线斜率、截距、前后缓和曲线长度和圆曲线半径等参数为自变量,以各个测点线路拨量的绝对值之和最小为优化目标建立模型,对其求解得到线路整正优化设计参数。为验证该算法的有效性,以沪昆线某段线路的平面测量坐标为试验对象,在无约束、整体约束和单点约束条件下,优化得到的整体拨量均小于传统方法的计算值,整体拨量下降明显。试验结果表明:采用该方法得到的整正优化设计参数可以使线路整正拨量较采用以往研究方法所得到的拨量更小,具有数据处理适用性强,计算结果更为准确的优点。
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Key words
track maintenance machine,existing line correction,Cuckoo search algorithm,adjustment quantity,total least square fit
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