CAJ | 학술논문

人工鱼群算法是一种新的智能仿生算法.以瑞典条分法作为边坡稳定性分析模型,利用模拟退火算法对人工鱼群算法进行改进,提出了一种搜索边坡最危险滑动面及对应的最小安全系数的求解方法.该方法克服了传统优化方法容易陷入局部极值点的缺点,具有较高的计算精度,适用性强,搜索的最优解更具有全局性.最后通过工程实例进行计算,并与基本的人工鱼群算法、传统的计算方法以及GA算法进行对比分析,结果令人满意.
인공어군산법시일충신적지능방생산법.이서전조분법작위변파은정성분석모형,이용모의퇴화산법대인공어군산법진행개진,제출료일충수색변파최위험활동면급대응적최소안전계수적구해방법.해방법극복료전통우화방법용역함입국부겁치점적결점,구유교고적계산정도,괄용성강,수색적최우해경구유전국성.최후통과공정실례진행계산,병여기본적인공어군산법、전통적계산방법이급GA산법진행대비분석,결과령인만의.
Artificial fish swarm algorithm is a new kind of intelligent bionic algorithm .This paper uses the Sweden method of slices as the data model for slope stability analysis. A new searching method for slope stability analysis is presented. The method uses the artificial fish-swarm algorithm based on simulated annealing algorithm to search the critical failure surface and minimum safety factor. This method can overcome the disadvantages of traditional optimization method such as easy to fall into local extreme points with high accuracy, applicability, and can get a more accurate global optimal solution. Finally, the feasibility and effectiveness of the new approach are verified by practical problem. The experimental results show that the proposed algorithm is significantly superior to original AFSA and the traditional calculation method as well as GA algorithm with wide application.