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Turkish Journal of Earth Sciences

2019

Particle swarm optimization

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Full-Text Articles in Physical Sciences and Mathematics

Parameter Estimations From Gravity And Magnetic Anomalies Due To Deep-Seated Faults:Differential Evolution Versus Particle Swarm Optimization, Yunus Levent Eki̇nci̇, Çağlayan Balkaya, Gökhan Göktürkler Jan 2019

Parameter Estimations From Gravity And Magnetic Anomalies Due To Deep-Seated Faults:Differential Evolution Versus Particle Swarm Optimization, Yunus Levent Eki̇nci̇, Çağlayan Balkaya, Gökhan Göktürkler

Turkish Journal of Earth Sciences

Estimation of causative source parameters is an essential tool in exploration geophysics and is frequently applied using potential field datasets. Naturally inspired metaheuristic optimization algorithms based on some stochastic procedures have attracted more attention during the last decade due to their capability in finding the optimal solution of the model parameters from the parameter space via direct search routines. In this study, the solutions obtained through differential evolution algorithm, a rarely used metaheuristic algorithm in geophysics, and particle swarm optimization, which is one of the most used global optimization algorithms in geophysics, have been compared in terms of robustness, consistency, …