摘要
根据加速遗传算法的思想和瑞典法基于圆弧滑动面的假定,提出一种用加速遗传算法搜索最危险滑动面及其对应的最小安全系数的方法。该方法是一种改进的遗传算法,它不仅能克服传统方法容易陷入局部极小值的缺点,而且较简单遗传算法具有更高的搜索效率,计算时间短,搜索的解更优,是一种全局优化算法。通过某高速公路工程实例对其进行了验证,结果令人满意。
According to the thought of accelerating genetic algorithm, a method based on the assumption of circular slip surface is presented in this paper. Authors use accelerating genetic algorithm(AGA) to determine the most dangerous slip surface and the corresponding minimum safety factor. This improved genetic algorithm can simulate genetic evolutionary process of organisms and avoids local minimum value compared with classical methods. It is a global optimal algorithm, so it has much more advantages than simple genetic algorithm(SGA),such as: higher efficiency, shorter time and better value. And it is verified by an expressway engineering case as well.
出处
《中国公路学报》
EI
CAS
CSCD
北大核心
2003年第4期16-20,共5页
China Journal of Highway and Transport
关键词
道路工程
边坡稳定性
加速遗传算法
最危险滑动面
最小安全系数
road engineering
slope stability
accelerating genetic algorithm
the most dangerous slip surface
minimum safety factor
