个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 大连理工大学水利工程学院副院长
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:水利工程系
学科:水工结构工程
电子邮箱:kangfei@dlut.edu.cn
Application of the artificial bee colony algorithm-based projection pursuit method in statistical rock mass stability estimation
点击次数:
论文类型:期刊论文
发表时间:2013-04-01
发表刊物:ENVIRONMENTAL EARTH SCIENCES
收录刊物:SCIE、EI、Scopus
卷号:68
期号:8
页面范围:2337-2345
ISSN号:1866-6280
关键字:Rock mass stability estimation; Projection pursuit method; Artificial bee colony algorithm; Multi-factor comprehensive evaluation
摘要:Because of the complexity of factors that affect rock mass stability, the design and decision-making in related engineering cannot rely solely on theoretical analysis and numerical calculation, but depend on the comprehensive judgment of experts. In pursuit of a statistical approach that may improve this disparity, an artificial bee colony algorithm-based projection pursuit (ABC-PP) method is presented for rock mass stability determination. The ABC-PP method is a powerful tool to deal with high-dimension problems, which characterize rock mass stability assessment practice. Two experiments are employed to demonstrate the efficiency of the ABC-PP method. In the first case, the state of stability is classified at two levels: stable and failed, whereas in the second case stability is classified at five levels (1-5) to test the capability of multi-level prediction of the ABC-PP method. Results show that the ABC-PP method could predict the rock mass stability accurately and may also provide the relative importance of specific controls on stability.