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采用改进进化方向的遗传算法并结合比奥特（ Biot）固结有限元数值法对一假设路堤的双层地基的一些主要土性参数进行反演，显示误差很小，收敛速度也很快，这说明改进进化方向遗传算法这种新型的优化算法在土性参数优化估计中具有精度高、反演快的优越性，克服了传统优化方法如共轭梯度法、拟牛顿法和单纯形法所具有的搜索速度随反演参数增多呈级数减慢、容易陷入局部极值点和误差传递导致不收敛等缺点，同时也要比简单遗传算法优越。
In the inversion of some major soil parameters of double foundation of a supposed embankment by genetic algorithm with evolution direction and Biot consolidation finite element method, the error is small and the convergence speed is very fast. This shows that the new optimization algorithm based on genetic algorithm with evolution direction has the advantages of high precision and fast inversion in the optimization estimation of soil parameters and overcomes the traditional optimization methods such as conjugate gradient method, quasi-Newton method and simplex method With the search speed with the inversion parameters increased, the number of stages is slowed down, it is easy to fall into the local extremum point and the error is not converged, which is superior to the simple genetic algorithm.