摘要
基于蚁群算法并通过改进蚁群算法结构和蚂蚁转移概率确定的方法 ,构造了一个适应复杂边坡临界滑动面搜索的启发式蚁群算法 (HACA) .研究了极度干旱地区露天采矿场岩体的物理力学特性 ,探讨了 HACA在采矿边坡临界滑动面搜索和稳定性分析评价中的应用 .结果表明 ,与传统方法相比 .其方法具有明显的优越性 .图 2 ,表 1,参
Ant colony algorithm (ACA) is a new bionic algorithm that is usually used to solve combination optimization problems. A new heuristic ant colony algorithm (HACA) is developed for searching for critical slip surface of complicated slope based on modifying the ACA's structure and the transfer probability of ant. The paper investigates the physical and mechanical characters of open pit rock in extremely dry land, and discusses the application of HACA to search for the critical slip surface and stability estimation of open pit slope.The results show that the presented method has obvious advantages compared with traditional methods.2figs.,1tab.,10refs.
出处
《湘潭矿业学院学报》
2002年第1期62-64,共3页
Journal of Xiangtan Mining Institute
基金
湖南省科技基金资助项目 (编号 :X99P51 0 59)
关键词
露天采矿
边坡
仿生算法
蚁群算法
干旱地区
临界滑动面
bionic algorithm
ant colony system
open pit
slope estimation
dry land
critical slip surface
