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 new efficient approach to estimate parameters that controlled the source dimensions from
magnetic anomaly profile data in light of PSO algorithm (particle swarm optimization) has …

In this paper GravPSO2D, a Matlab tool for two-dimensional gravity inversion in sedimentary
basins using the Particle Swarm Optimization (PSO) algorithm, is presented. The package …

We focus on the performances of three nature-inspired metaheuristic methods for the
optimization of time-domain electromagnetic (TDEM) data: the Genetic Algorithm (GA), the …

Population-based optimization algorithms are a class of stochastic global search methods,
which probe the model space based on a set of nature-inspired rules in an iterative and …

The joint inversion of multiple data sets encompasses the advantages of different
geophysical methods but may yield to conflicting solutions. Global search methods have …

The measurement of the atmospheric electric field is of great significance for the study of
thunderstorm cloud charge models. Traditional electric field meters can only measure the …

The use of heat as a tracer has become a widely used approach to estimate vertical
streambed fluxes (VSFs). We present BDFLUX, a new bounded domain model that can be …

We present a 3D high-resolution modeling methodology based on the interpretation of
gravity gradient data and its joint inversion with the simulated annealing (SA) global …

Particle swarm optimization, one of the modern global optimization methods, is attracting
widespread interest because it overcomes the difficulties of conventional inversion …