Recursive-Particle Swarm Optimization (RPSO): A hybridized inversion technique for the interpretation of gravity anomaly over Mobrun ore body.

In order to understand the general trend of the environment, mathematical formulation plays a key role. In the department of applied sciences, knowing the parameters associated with the mathematical functions is not just a matter of solving equations but to search out the precise values. The geophysical problems mostly are unique and non-linear due to singular nature of mother Earth. To overcome the constraint of search space, precision, and poor computation time, upgraded stochastic computation algorithms comes under light. Particle Swarm Optimization [1] has shown its footprints to most of the geophysical inverse problems. But, the deduced technique of Recursive - Particle Swarm Optimization (RPSO) analysis has shown substantial improvements in the inversion process due to presence of domain confinement technique. The study has impressively rectified the constraint of precise modelling after inversion and computing time taken. Application of the algorithm in studying gravity anomaly over Mobrun ore body in Canada has proved its liability and applicability. The study has shown 60% improvement in the misfit values from the last study done over the same region.