Backtracking Search Optimization: A Novel Global Optimization Algorithm for the Inversion of Gravity Anomalies

In this paper, an implementation of Backtracking search optimization (BSA), a non-gradient iterative evolutionary algorithm, is presented for model parameter estimation applications using gravity anomalies. This is the first study to use this promising bio-inspired and population-based global optimi...

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Veröffentlicht in:	Pure and applied geophysics 2021-11, Vol.178 (11), p.4507-4527
Hauptverfasser:	Ekinci, Yunus Levent, Balkaya, Çağlayan, Göktürkler, Gökhan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anticlines Approximation Confidence intervals Cost function Datasets Earth and Environmental Science Earth Sciences Evolutionary algorithms Geological structures Geophysical data Geophysics Geophysics/Geodesy Global optimization Gravity anomalies Gravity data Inverse problems Iterative methods Markov chains Mathematical models Monte Carlo simulation Optimization algorithms Parameter estimation Parameters Particle swarm optimization Statistical methods
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