A CLUSTERING APPROACH FOR EVALUATION OF SLOPE STABILITY BASED ON GENETIC ALGORITHM

摘要：

A clustering method for evaluation of slope stability is developed based on genetic algorithm.By incorporating features of the problem discussed, the corresponding genetic operators such as selection strategy, crossover operator, and mutation operator are designed to promote global search.Computational results show that the GA-based model can avoid the disadvantages of ordinary clustering methods and find the optimum solution easily with no prior knowledge about datas distributions.

关键词： Genetic algorithm Evaluation of slope stability Clustering analysis

作者: SHENG-LI ZHAO YAN LIU YONG-JIAN LIU YONG-BING BAI

作者单位: Rural and Urban Construction College, Hebei Agricultural University, Baoding, 071001, China The First Branch Company, Hebei Construction Group, Baoding, 071001, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 952-955

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）