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将人工蜂群算法(ABC)应用于边坡最危险滑动面的搜索以及最小安全系数的求解,为了提高算法的搜索效率,减少搜索过程中的停滞现象,对工蜂进行邻域搜索产生新解的方法进行改进,提出一种自适应智能搜索的人工蜂群算法。该算法具有较高的搜索精度和搜索效率,简单易实现,适用性强,搜索的最优解更具有全局性。通过工程实例验证了该方法的合理性与可靠性,计算结果令人满意,能较好地应用于边坡稳定性分析中。
The artificial bee colony algorithm (ABC) is applied to the search of the most dangerous slip surface and the minimum safety factor. In order to improve the search efficiency of the algorithm and reduce the stagnation in the search process, a new solution to the neighbor search of worker bees Method to improve, put forward a self-adaptive artificial search artificial bee colony algorithm. The algorithm has high search accuracy and search efficiency, simple and easy to implement, applicability, the optimal search solution is more global. Through the engineering example, the rationality and reliability of the method are verified. The calculation results are satisfactory and can be well applied to the slope stability analysis.