基于自适应遗传算法的路堤边坡稳定性分析方法

Embankment Slope Stability Analysis Method Based on Self-adaptive Genetic Algorithm

基于圆弧滑动面假定,提出了一种用自适应遗传算法搜索最危险滑动面及其对应的最小安全系数的新方法。该方法是一种改进的遗传算法,采用自适应求取适值、动态调整交叉率和变异率、自适应区间收缩。自适应遗传算法有效克服了传统方法易陷入局部极小的缺陷,提高了算法的搜索效率、精度和稳定性。

Based on the assumption of circular slip surface,selfadaptive genetic algorithm is presented to determine the most dangerous slip surface and the corresponding minimum safety factor.This method is an improved genetic algorithm,which can calculate selfadaptive individual fitness value,dynamical crossover rate and mutation rate,and the selfadaptive interval contraction,with local minimum value effectively eliminated.It is a global optimal algorithm,better than the simple genetic algorithm.