Chaotic particle swarm optimization for geophysical inversion of magnetic data
The inversion of magnetic data usually faces a non-linear optimization problem with multi-variable, multi-objective function extremum, multi-solution and so on. Therefore, it is necessary that the more stable and efficient algorithms is used in the inversion of magnetic data. Particle Swarm Optimization (PSO) has been used in the geophysical inversion of magnetotelluric data. However, for high-dimensional, multi-peak function, the convergence of particle swarm accuracy in PSO method is not good, and it easy to fall into the local minimum. Based on the selected advantages of the chaotic local search and particle swarm optimization, this paper proposes a chaotic particle swarm optimization inversion approach to geophysical Inversion. The search process according to the chaotic orbit traversal process is enable reduced the probability of PSO search processes falling into local minima. The experiment result from multiple vertical magnetic plate model shows that this approach is feasible for inversion of magnetic data, and is superior to the single PSO method in terms of accuracy and robustness. The proposed combined chaotic local search and PSO can exploit their selected advantages.
Particle Swarm Optimization Chaotic local search magnetic inversion
Ning Qiu Qingsheng Liu Qingli Zeng
Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074,China Institute of Geophysics and Geomatics, China University of Geosciences,Wuhan 430074, China Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
国际会议
成都
英文
820-824
2010-06-14（万方平台首次上网日期，不代表论文的发表时间）