应用蒙特卡罗免疫遗传算法分析土坡的稳定可靠 性

本文借鉴疫苗提取、疫苗接种、免疫记忆、基因亲和突变、基因重组等思想提出了一种改进的免疫遗传算法。在此基础上研究了基于本文免疫遗传算法的土坡最危险滑动面搜索方法,并将该方法与蒙特卡罗随机模拟技术相结合,用于土坡稳定可靠性分析。工程实例计算结果与实际情况相符,验证了算法的有效性和分析方法的正确性。

SOIL SLOPE RELIABILITY ANALYSIS USING MONTE-CARLO-IMMUNE GENETIC ALGORITHM

An improved immune genetic algorithm has been put forward in this paper.It is based onthe thoughts of vaccine selection,vaccination,immune memory,gene affinity mutation,gene recombination.On the basis of the algorithm,a search method for the most dangerous slip surface of soil slopes has been studied.The method is further combined with Monte-carlo stochastic simulated technique.The method has been used in the soil slope reliability analysis.An actual case study is given.The calculating result for the actual case is in accordance with the fact.The study verifies the validity of the algorithm and the correctness of the method.