Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes
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...
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doaj-7dad3e93f826418d8353c3ee68ab024a2020-11-24T20:40:35ZengElsevierGeoscience Frontiers1674-98712016-01-0171838910.1016/j.gsf.2014.11.005Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopesAli Reza Kashani0Amir Hossein Gandomi1Mehdi Mousavi2Department of Civil Engineering, Arak University, Arak, IranDepartment of Civil Engineering, The University of Akron, Akron, OH 44325, USADepartment of Civil Engineering, Arak University, Arak, IranIn 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.http://www.sciencedirect.com/science/article/pii/S1674987114001637Meta-heuristic algorithmsMorgen-stern and price methodNon-circular slip surfaceImperialistic competitive algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ali Reza Kashani Amir Hossein Gandomi Mehdi Mousavi |
spellingShingle |
Ali Reza Kashani Amir Hossein Gandomi Mehdi Mousavi Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes Geoscience Frontiers Meta-heuristic algorithms Morgen-stern and price method Non-circular slip surface Imperialistic competitive algorithm |
author_facet |
Ali Reza Kashani Amir Hossein Gandomi Mehdi Mousavi |
author_sort |
Ali Reza Kashani |
title |
Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes |
title_short |
Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes |
title_full |
Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes |
title_fullStr |
Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes |
title_full_unstemmed |
Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes |
title_sort |
imperialistic competitive algorithm: a metaheuristic algorithm for locating the critical slip surface in 2-dimensional soil slopes |
publisher |
Elsevier |
series |
Geoscience Frontiers |
issn |
1674-9871 |
publishDate |
2016-01-01 |
description |
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. |
topic |
Meta-heuristic algorithms Morgen-stern and price method Non-circular slip surface Imperialistic competitive algorithm |
url |
http://www.sciencedirect.com/science/article/pii/S1674987114001637 |
work_keys_str_mv |
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