Study on S-Wave Velocity Structure In versed by Parallel Genetic Algorithm

摘要：

A coarse-grained parallel genetic algorithm based on personal computer cluster is proposed to inverse shallow S-wave velocity structure of actual engineering sites, in order to solve the disadvantage of traditional genetic algorithm, such as easy trap into extreme and computed long time. The simulated annealing algorithm and parallel technique message passing interface(MPI) are adopted to implement the coarse-grained parallel computer. The subpopulations were collaboratively optimized through individual migration strategy and the dynamic populations were adopted to balance the computing load. The shallow S-wave velocity structures of two examples and the actual engineering sites were inversed through a 4-node PC cluster test system, the results show that the algorithm has a good parallel efficiency and the proposed algorithm can be used to inverse shallow S-wave velocity structure of engineering site.

作者: Lian-cheng Dong Xia-xin Tao Guang-ying Li Da-gang Lv

作者单位: Harbin Institute of Technology, Harbin, China Heilongjiang Institute of Science and Technology, Harb Harbin Institute of Technology, Harbin, China Heilongjiang Institute of Science and Technology, Harbin, China

会议类型: 国际会议

会议名称: 3rd International Geotechnical Symposium on Geotechnical Engineering for Disaster Prevention and Reduction(第三届国际岩土工程防灾减灾学术研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 754-763

在线出版日期: 2009-07-22（万方平台首次上网日期，不代表论文的发表时间）