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基于人工蜂群算法的边坡最危险滑动面搜索
引用本文:康飞,李俊杰,马震岳.基于人工蜂群算法的边坡最危险滑动面搜索[J].防灾减灾工程学报,2011,31(2):166-172.
作者姓名:康飞  李俊杰  马震岳
作者单位:大连理工大学建设工程学部水利工程学院;
基金项目:国家自然科学基金项目(90815024); 中国博士后科学基金项目(20100471444)资助
摘    要:将用于连续数值优化问题的人工蜂群算法引入边坡稳定分析临界滑动面搜索领域.该方法模拟了蜂群的群体协作采蜜过程,具有自适应收敛的特点,克服了传统方法容易陷入局部最优的缺点,是一种全局优化算法.为进一步改善其在复杂边坡搜索中的效果,将Hooke-Jeeves模式搜索操作引入人工蜂群算法,提出一种用于边坡临界滑动面搜索的模式搜...

关 键 词:边坡稳定分析  人工蜂群算法(ABC)  非线性强度指标  临界滑动面

Searching for Critical Slip Surface of Slops Based on Artificial Bee Colony Algorithm
KANG Fei,LI Jun-jie,MA Zhen-yue.Searching for Critical Slip Surface of Slops Based on Artificial Bee Colony Algorithm[J].Journal of Disaster Prevent and Mitigation Eng,2011,31(2):166-172.
Authors:KANG Fei  LI Jun-jie  MA Zhen-yue
Institution:KANG Fei,LI Jun-jie,MA Zhen-yue(School of Hydroulic Engineering,Faculty of Infrastructure Engineering,Dalian University of Technology,Dalian 116024,China)
Abstract:An artificial bee colony algorithm(ABC) for continuous numerical optimization was introduced into searching for the most dangerous failure surface in slope stability analysis.ABC is a global search algorithm,which models the cooperative foraging process of honeybees,and the disadvantage of being easily trapped into local optima of traditional algorithms may be overcome.To improve the performance of ABC on complex slopes,Hooke-Jeeves pattern search operators were introduced into ABC and a Hooke-Jeeves ABC wa...
Keywords:slope stability analysis  artificial bee colony algorithm(ABC)  nonlinear strength index  critical slip surface  
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