基于广义遗传算法的路基沉降预测方法应用  

Research on the Prediction of Embankment Settlement Based on the Generalized Genetic Algorithm

作　　者：卞志兵 高正夏[1] 杨爱婷[1] 宗文亮[1] 

机构地区：[1]河海大学地球科学与工程学院,江苏南京210098

出　　处：《江南大学学报（自然科学版）》2015年第4期468-471,共4页Joural of Jiangnan University (Natural Science Edition)　

摘　　要：根据路基沉降变形的非线性、不确定性特征,对比经典遗传算法特点,提出基于广义遗传算法的路基沉降预测方法。通过研究该方法以及实例计算,得知只要给出待求模型参数的取值范围,就可以搜索出全局最优参数值,从而推算得到路基的最终沉降量。通过与其它确定模型参数的方法进行对比,结果表明广义遗传算法在此方面具有较高的稳定性和可靠性。According to the characteristics of nonlinear and uncertainty of embankment settlement deformation,a generalized genetic algorithm based embankment settlement prediction method is proposed. By studying the methods and the calculation of the examples,it shows that the optimized parameters can be searched and we can get the final settlement of embankment so long as the total range of the model parameters is given. Compared with other methods,the prosed method has better stability and security.

关 键 词：广义遗传算法 路基沉降 最终沉降量 沉降预测 

分 类 号：U416.1[交通运输工程—道路与铁道工程]