The Application of Modified Parallel Particle Swarm Optimization to Back Analysis of Rock Masses Parameters in Underground Engineering

摘要：

As back analysis of rock masses parameters in geotechnical engineering involves enormous amounts of computation, the traditional serial implementation of the optimization algorithm is time-consuming and even unrealistic. To obtain enhanced computational throughput and global search capability, a parallel implementation of Particle Swarm Optimization (PSO)based on Message Passing Interface (MPI) on a computer cluster is presented in this paper. The method is further illustrated with its application to a large scale underground cavern of a hydropower station. The back analysis results are favorable and prove that the proposed method is effective and applicable.

关键词： parallel computation Particle Swarm Optimization underground engineering rock masses parameters incremental displacements back analysis

作者: Shaohu Ni Ming Xiao

作者单位: State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, P.R. China

会议类型: 国际会议

会议名称: The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)

会议地点: 长沙

会议语种:英文

页码: 380-386

在线出版日期: 2009-06-01（万方平台首次上网日期，不代表论文的发表时间）