Using particle swarm optimization scheme to settlement prediction

摘要：

To predict the settlement of foundations is an important issue in geotechnical engineering and one of the main concerns in design. The mechanism of particle swarm optimization (PSO) is inspired from the complex social behavior shown by the nature species. The advantage of PSO over many other optimization algorithms is its simplicity in implementation and its ability to converge to a reasonably good solution quickly. In this paper, PSO is used in an attempt to obtain accurate settlement prediction. The predicted settlements obtained by PSO are compared with those predicted by the least squares fitting method, Asaoka method and GA. The results show that PSO is a useful technique for predicting the settlement of foundations.

关键词： PSO settlement prediction foundation

作者: Jia GUO Weili Zhang

作者单位: Three Gorges Research Center for geo-hazard,Ministry of Education China University of Geosciences Wuhan, China

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 2419-2422

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）