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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Main Authors: Ali Reza Kashani, Amir Hossein Gandomi, Mehdi Mousavi
Format: Article
Language:English
Published: Elsevier 2016-01-01
Series:Geoscience Frontiers
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987114001637
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spelling 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
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