Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation

The inverse procedure of surface wave phase velocity is a complicated problem for linear inversion approach because of its multi-model and highly nonlinear nature. Therefore the use of genetic algorithm (GA) optimization technique which is one of nonlinear optimization methods is an appropriate cho...

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主要作者: Hamimu, La
格式: Thesis
語言:English
出版: 2011
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spelling my.usm.eprints.41916 http://eprints.usm.my/41916/ Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation Hamimu, La QC1 Physics (General) The inverse procedure of surface wave phase velocity is a complicated problem for linear inversion approach because of its multi-model and highly nonlinear nature. Therefore the use of genetic algorithm (GA) optimization technique which is one of nonlinear optimization methods is an appropriate choice to solve surface wave inversion problem having high nonlinearity and multimodality. A novel inversion procedure of GA (NIPGA) suggested in this study was presented an effective technique for surface wave phase velocity inversion. 2011-05 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/41916/1/LA_HAMIMU.pdf Hamimu, La (2011) Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QC1 Physics (General)
spellingShingle QC1 Physics (General)
Hamimu, La
Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation
description The inverse procedure of surface wave phase velocity is a complicated problem for linear inversion approach because of its multi-model and highly nonlinear nature. Therefore the use of genetic algorithm (GA) optimization technique which is one of nonlinear optimization methods is an appropriate choice to solve surface wave inversion problem having high nonlinearity and multimodality. A novel inversion procedure of GA (NIPGA) suggested in this study was presented an effective technique for surface wave phase velocity inversion.
format Thesis
author Hamimu, La
author_facet Hamimu, La
author_sort Hamimu, La
title Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation
title_short Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation
title_full Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation
title_fullStr Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation
title_full_unstemmed Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation
title_sort inversion of surface wave phase velocity using new genetic algorithm technique for geotechnical site investigation
publishDate 2011
url http://eprints.usm.my/41916/1/LA_HAMIMU.pdf
http://eprints.usm.my/41916/
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