This paper reviews the application of the algorithm particle swarm optimization (PSO) to
perform stochastic inverse modeling of geophysical data. The main features of PSO are …

A very fast and efficient approach to self-potential (SP) data inversion for ore exploration has
been developed. This approach is based on Tikhonov regularization and the conjugate …

Rayleigh waves have been used increasingly as an appealing tool to obtain near-surface
shear (S)-wave velocity profiles. However, inversion of Rayleigh wave dispersion curves is …

A global particle swarm optimization (GPSO) technique is developed and applied to the
inversion of residual gravity anomalies caused by buried bodies with simple geometry …

Abstract 3D non-linear inversion of total field magnetic anomalies caused by vertical-sided
prismatic bodies has been achieved by differential evolution (DE), which is one of the …

Three naturally inspired meta-heuristic algorithms—the genetic algorithm (GA), simulated
annealing (SA) and particle swarm optimization (PSO)—were used to invert some of the self …

An efficient approach to estimate model parameters from residual gravity data based on
differential evolution (DE), a stochastic vector-based metaheuristic algorithm, has been …

This article describes a robust simultaneous joint inversion scheme for the interpretation of
gravity and self-potential data measured along the profile. The developed scheme jointly …

The Bat optimizing algorithm (BOA) is one of the metaheuristic algorithms and applied here
to interpret self-potential (SP) data. The BOA is depending upon a bat echolocation behavior …

Estimation of causative source parameters is an essential tool in exploration geophysics and
is frequently applied using potential field datasets. Naturally inspired metaheuristic …