Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes

Kashani, AR; Gandomi, AH; Mousavi, M

Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes

Kashani, AR Gandomi, AH Mousavi, M

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Publisher:: CHINA UNIV GEOSCIENCES
Publication Type:: Journal Article
Citation:: Geoscience Frontiers, 2016, 7, (1), pp. 83-89
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Kashani, AR
dc.contributor.author	Gandomi, AH
dc.contributor.author	Mousavi, M
dc.date.accessioned	2022-08-12T20:31:52Z
dc.date.available	2022-08-12T20:31:52Z
dc.date.issued	2016-01-01
dc.identifier.citation	Geoscience Frontiers, 2016, 7, (1), pp. 83-89
dc.identifier.issn	1674-9871
dc.identifier.uri	http://hdl.handle.net/10453/160043
dc.description.abstract	In this study, Imperialistic Competitive Algorithm (ICA) is utilized for locating the critical failure surface and computing the factor of safety (FOS) in a slope stability analysis based on the limit equilibrium approach. The factor of safety relating to each trial slip surface is calculated using a simplified algorithm of the Morgenstern-Price method, which satisfies both the force and the moment equilibriums. General slip surface is considered non-circular in this study that is constituted by linking random straight lines. To explore the performance of the proposed algorithm, four benchmark test problems are analyzed. The results demonstrate that the present techniques can provide reliable, accurate and efficient solutions for locating the critical failure surface and relating FOS. Moreover, in contrast with previous studies the present algorithm could reach the lower value of FOS and reached more exact solutions.
dc.language	English
dc.publisher	CHINA UNIV GEOSCIENCES
dc.relation.ispartof	Geoscience Frontiers
dc.relation.isbasedon	10.1016/j.gsf.2014.11.005
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0402 Geochemistry, 0403 Geology, 0404 Geophysics
dc.title	Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes
dc.type	Journal Article
utslib.citation.volume	7
utslib.for	0402 Geochemistry
utslib.for	0403 Geology
utslib.for	0404 Geophysics
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2022-08-12T20:31:51Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	7
utslib.citation.issue	1

Abstract:

In this study, Imperialistic Competitive Algorithm (ICA) is utilized for locating the critical failure surface and computing the factor of safety (FOS) in a slope stability analysis based on the limit equilibrium approach. The factor of safety relating to each trial slip surface is calculated using a simplified algorithm of the Morgenstern-Price method, which satisfies both the force and the moment equilibriums. General slip surface is considered non-circular in this study that is constituted by linking random straight lines. To explore the performance of the proposed algorithm, four benchmark test problems are analyzed. The results demonstrate that the present techniques can provide reliable, accurate and efficient solutions for locating the critical failure surface and relating FOS. Moreover, in contrast with previous studies the present algorithm could reach the lower value of FOS and reached more exact solutions.

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http://hdl.handle.net/10453/160043