摘要
将微粒群优化算法与位错理论模型相结合,采用模拟重力测量数据反演断层三维滑动速率,并比较了该算法与蒙特卡洛法和蚁群算法的反演结果。利用河西地区2001-2004年的GPS数据,对祁连山断层的三维滑动速率进行反演,并与蚁群算法进行比较。结果表明,微粒群优化算法可有效求解断层的三维滑动速率,收敛快、精度高。
The particle swarm algorithm is a newly developed optimization.Application of the particle swarm algorithm in geodetic inversion problems is rarely reported in China.In this study,by using the particle swarm optimization algorithm combined with the dislocation model,the three dimension slip velocity of the Qilianshan mountain fault is inversed by using leveling data observed in Hexi region during 2001-2004.The results show that the particle swarm optimization algorithm can compute three dimension slip velocity of the fault effectively.The results of the numerical inversion are consistent with those obtained by geological methods.
出处
《大地测量与地球动力学》
CSCD
北大核心
2015年第1期30-33,共4页
Journal of Geodesy and Geodynamics
关键词
位错理论
微粒群优化算法
反演
断层滑动速率
dislocation model
particle swarm optimization algorithm（PSO）
inversion
fault slip velocity
