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Li, Long, Liu, Rui, Pirasteh, Saied, Chen, Xianhua, He, Long, Li, Jonathan (2017) A novel genetic algorithm for optimization of conditioning factors in shallow translational landslides and susceptibility mapping. Arabian Journal of Geosciences, 10 (9) doi:10.1007/s12517-017-3002-4

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Reference TypeJournal (article/letter/editorial)
TitleA novel genetic algorithm for optimization of conditioning factors in shallow translational landslides and susceptibility mapping
JournalArabian Journal of Geosciences
AuthorsLi, LongAuthor
Liu, RuiAuthor
Pirasteh, SaiedAuthor
Chen, XianhuaAuthor
He, LongAuthor
Li, JonathanAuthor
Year2017 (May)Volume10
Issue9
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s12517-017-3002-4Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID959346Long-form Identifiermindat:1:5:959346:0
GUID0
Full ReferenceLi, Long, Liu, Rui, Pirasteh, Saied, Chen, Xianhua, He, Long, Li, Jonathan (2017) A novel genetic algorithm for optimization of conditioning factors in shallow translational landslides and susceptibility mapping. Arabian Journal of Geosciences, 10 (9) doi:10.1007/s12517-017-3002-4
Plain TextLi, Long, Liu, Rui, Pirasteh, Saied, Chen, Xianhua, He, Long, Li, Jonathan (2017) A novel genetic algorithm for optimization of conditioning factors in shallow translational landslides and susceptibility mapping. Arabian Journal of Geosciences, 10 (9) doi:10.1007/s12517-017-3002-4
In(2017, May) Arabian Journal of Geosciences Vol. 10 (9) Springer Science and Business Media LLC

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Liu, Rui, Li, Luyao, Pirasteh, Saied, Lai, Zili, Yang, Xin, Shahabi, Himan (2021) Correction to: The performance quality of LR, SVM, and RF for earthquake-induced landslides susceptibility mapping incorporating remote sensing imagery. Arabian Journal of Geosciences, 14 (5) doi:10.1007/s12517-021-06755-7
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Kavzoglu, Taskin, Kutlug Sahin, Emrehan, Colkesen, Ismail (2015) Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm. Engineering Geology, 192. 101-112 doi:10.1016/j.enggeo.2015.04.004
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