基于圆弧滑动面的假定和遗传算法的思想,提出了用加速遗传算法(aga)搜索边坡最危险滑动面及其对应的最小安全系数的方法。该方法是一种模拟生物遗传进化过程的算法,它克服了传统优化方法容易陷入局部极值点和误差传递导致不收敛的缺点,具有较高的计算精度,适用性强,搜索的最优解更具有全局性。通过一工程边坡实例对其进行了验证。 Based on the assumption of the arc sliding surface and the idea of ​​genetic algorithm, a method of searching for the most dangerous slip surface of slope and its corresponding minimum safety factor by using accelerated genetic algorithm (aga) is proposed. This method is an algorithm to simulate the biological genetic evolution process. It overcomes the shortcomings that the traditional optimization methods are easy to fall into the local extreme point and the error is not converged, which has high computational accuracy and applicability. The optimal solution of the search More global. It is verified by an engineering slope example.