基于单纯形-混沌优化算法的边坡稳定性分析

利用混沌现象固有的内在结构进行寻优搜索,为土质边坡的稳定性分析提供了一个新思路。将混沌优化算法的全局搜索能力和单纯形法的局部搜索能力结合起来形成单纯形-混沌优化算法,结合简化Bishop法对边坡进行稳定性分析。单纯形-混沌优化算法搜索到的是全局最优解。通过与遗传算法、改进的模拟退火算法的计算结果对比,表明在保证安全系数一定精度的情况下,单纯形-混沌优化算法搜索到的是最危险滑动面。可见,单纯形-混沌优化算法具有较强的全局搜索能力,结果更可靠。

Stability analysis of soil slope based on simplex-chaos optimization algorithm

A new method that uses the inherent structure of chaotic phenomena in optimization search for the stability analysis of soil slope was proposed.The so-named simplex-chaos optimization algorithm was constructed from the chaos optimization algorithm,which has a strong global search capability,and the simplex algorithm,which has a strong local search capability,and combined with the simplified Bishop,to analyze the stability of the soil slope.The reliability of the method was ensured through the comparison with the enumeration methods,which showed that,the solution of the simplex-chaos optimization algorithm was a global optimum solution.Specifically,the comparison with the genetic algorithms and the improved simulated annealing algorithm indicated that,with the precision of the safety factor guaranteed,the simplex-chaos optimization algorithm could obtain the most dangerous failure surface,while the genetic algorithms and the improved simulated annealing algorithm could not.That is to day,the simplex-chaos optimization algorithm has stronger global search capability and is more reliable for the stability analysis of the soil slope.