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

dc.contributor.author	Ekinci, Yunus Levent
dc.contributor.author	Balkaya, Caglayan
dc.contributor.author	Gokturkler, Gokhan
dc.date.accessioned	16/12/21 12:06
dc.date.available	16/12/21 12:06
dc.identifier.issn	0033-4553
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9818
dc.identifier.uri	https://doi.org/10.1007/s00024-021-02855-3
dc.description.abstract	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 bi
dc.language.iso	English
dc.publisher	Sprınger Basel Ag
dc.source	Pure And Applıed Geophysıcs
dc.title	Backtracking Search Optimization: A Novel Global Optimization Algorithm for the Inversion of Gravity Anomalies
dc.type	Article; Early Access
dc.identifier.doi	10.1007/s00024-021-02855-3
dc.identifier.wos	WOS:000696825600001

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