Estimation of Deep-Seated Faults Parameters from Gravity Data Using the Cuckoo Search Algorithm

Cuckoo Search Algorithm (CSA) is a nature-inspired metaheuristic optimization algorithm. The optimization algorithm was inspired by the life story of a family of birds called the Cuckoo. In this paper, an application of the CSA, is implemented to estimate model parameters of deep-seated faults by us...

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Vydané v:	Pure and applied geophysics Ročník 180; číslo 12; s. 4147 - 4173
Hlavní autori:	Özyalın, Şenol, Tunçel, Aykut
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.12.2023 Springer Nature B.V
Predmet:	Algorithms Compatibility Earth and Environmental Science Earth Sciences Function analysis Geophysics/Geodesy Gravity anomalies Gravity data Heuristic methods Mathematical models Modelling Optimization Optimization algorithms Parameters Probability density function Probability density functions Probability theory Search algorithms Synthetic data Egypt Cuckoo Search Algorithm Deep-seated faults Gravity inversion Parameter tuning
ISSN:	0033-4553, 1420-9136
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