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Full-Text Articles in Geological Engineering
A Comparison Study Using Particle Swarm Optimization Inversion Algorithm For Gravity Anomaly Interpretation Due To A 2d Vertical Fault Structure, Neil Lennart Anderson, Khalid S. Essa, Mahmoud Elhussein
A Comparison Study Using Particle Swarm Optimization Inversion Algorithm For Gravity Anomaly Interpretation Due To A 2d Vertical Fault Structure, Neil Lennart Anderson, Khalid S. Essa, Mahmoud Elhussein
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
A new approach to the inversion of gravity data utilizing the Particle Swarm Optimization (PSO) algorithm is used to model 2D vertical faults. The PSO algorithm is stochastic in nature; its development was motivated by the communal in-flight performance of birds looking for food. The birds are represented by particles (or models). Individual particles have a location and a velocity vector. The location vectors represent the parameter value. PSO is adjusted with random particles (models) and searches for targets by updating generations. Herein, the PSO algorithm is applied to three synthetic data sets (residual only with and without noise, residual …