HYBRID PARTICLE SWARM OPTIMIZATION AND GREY WOLF OPTIMIZER ALGORITHM FOR CONTROLLED SOURCE AUDIO-FREQUENCY MAGNETOTELLURICS (CSAMT) ONE-DIMENSIONAL INVERSION MODELLING

The Controlled Source Audio-frequency Magnetotellurics (CSAMT) is a geophysical method utilizing artificial electromagnetic signal source to estimate subsurface resistivity structures. One-dimensional (1D) inversion modelling of CSAMT data non-linear and the solution can be estimated by using global optimization algorithms. Particle Swarm Optimization (PSO) Grey Wolf Optimizer (GWO) are well-known population-based algorithms having relatively simple mathematical formulation implementation. Hybridization PSO GWO (called hybrid PSO-GWO) improve convergence capability solution. This study applied PSO-GWO algorithm for 1D modelling. Tests were conducted with synthetic associated 3-layer, 4-layer 5-layer earth models determine performance algorithm. results show that has good in obtaining minimum misfit compared original was also invert field gold mineralization exploration Cibaliung area, Banten Province, Indonesia. able reconstruct model very well which confirmed from standard 2D MT software. agrees geological information area.