Use of swarm intelligence to invert magnetotelluric (MT) data for crustal structure
Particle Swarm Optimization (PSO) emulates the social behaviors in a flock of birds (swarm) in solving an optimization problem It utilizes both local and global properties of the swarm to formulate a novel search strategy that guides the swarm towards the best solution with constant updating of the cognitive and social knowledge of the particles in the swarm. We used PSO to delineate deep crustal structure from MT data. To evaluate the applicability of PSO, we inverted a set of synthetic MT data over a typical continental crust and a selected a field data from Bakreswar geothermal regime. Inversion of the synthetic data shows that a good solution can be obtained with a swarm of 30 particles for less than 600 iterations. Inversion of the field data has revealed a 16 km thick conducting layer at a depth of around 15 km. The model parameters are resolved satisfactorily in both the cases
Particle Swarm Optimization Magnetotelluric Continental Crust Geothermal Regime
SHALIVAHAN R K SHAW Bimalendu B BHATTACHARYA
Department of Applied Geophysics, Indian School of Mines University, Dhanbad 826 004, Department of Applied Geophysics, Indian School of Mines University, Dhanbad 826 004,Presently at Fu S N Bose National Centre for Basic Sciences, Sector III, JD Block Salt Lake, Kolkatta 700 098,
国际会议
The 19th International Workshop on Electromagnetic Induction in the Earth(第十九届国际地球电磁感应学术研讨会)
北京
英文
556-561
2008-10-23（万方平台首次上网日期，不代表论文的发表时间）