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遗传进化算法在边坡稳定性分析中的应用
引用本文:肖专文,张奇志,梁力,林韵梅.遗传进化算法在边坡稳定性分析中的应用[J].岩土工程学报,1998,20(1):44-46.
作者姓名:肖专文  张奇志  梁力  林韵梅
作者单位:沈阳建筑工程学院土木系;北京机械工业学院自动化系;东北大学土木系;
摘    要:基于圆弧滑动面假定,提出了一种用遗传进化算法确定边坡最危险滑动面及其对应的最小安全系数的方法。该方法模拟了生物遗传进化的过程,克服了传统方法容易陷入局部极小值的缺点,是一种全局优化算法。

关 键 词:遗传进化算法  边坡稳定性  最危险滑动面  最小安全系数  

Application of genetic evolutionary algorithm for slope stability analysis
Xiao Zhuanwen,Zhang Qizhi,Liang Li,Lin Yunmei.Application of genetic evolutionary algorithm for slope stability analysis[J].Chinese Journal of Geotechnical Engineering,1998,20(1):44-46.
Authors:Xiao Zhuanwen  Zhang Qizhi  Liang Li  Lin Yunmei
Affiliation:Department of Civil Engineering Shenyang Architectual and Civil Engineering Institute Shenyang 110015 Department of Automation Beijing Mechanical Industry Institute Beijing 100083 Department
Abstract:According to the stability analysis of slopes, a method based on the assumption of circular slip surface is put forward in this paper.The method uses genetic evolutionary algorithm to determinate the most dangerous slip surface and the correspending minimum safety factor.It simulates genetic evolutionary process of organisms and avoids local minimum value. It is a global optimal algorithm,so it has obvious advantages compared with classical methods.
Keywords:genetic evolutionary  algorithm  slope  stability  most dangerous sliding surface  minimum safety coefficients    
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