Metaheuristics in applied geophysics

dc.contributor.author	Gokturkler, Gokhan
dc.contributor.author	Balkaya, Caglayan
dc.contributor.author	Ekinci, Yunus Levent
dc.contributor.author	Turan, Secil
dc.date.accessioned	2021-12-16T09:07:49Z
dc.date.available	2021-12-16T09:07:49Z
dc.date.issued	2016
dc.identifier.issn	1300-7009
dc.identifier.uri	https://doi.org/10.5505/pajes.2015.81904
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10520
dc.description.abstract	In this study, four metaheuristic algorithms including particle swarm optimization (PSO), genetic algorithm (GA), differential evolution (DE) and simulated annealing (SA) were used for one-, two-and threedimensional (1D, 2D and 3D) geophysical inverse pro
dc.language.iso	Turkish
dc.publisher	Pamukkale Unıv
dc.rights	gold
dc.source	Pamukkale Unıversıty Journal Of Engıneerıng Scıences-Pamukkale Unıversıtesı Muhendıslık Bılımlerı Dergısı
dc.title	Metaheuristics in applied geophysics
dc.type	Article
dc.identifier.issue	6
dc.identifier.startpage	563
dc.identifier.endpage	580
dc.identifier.doi	10.5505/pajes.2015.81904
dc.identifier.wos	WOS:000443165200023
dc.identifier.volume	22

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