Slope stability analysis using evolutionary optimization techniques |
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| Authors: | AH Gandomi AR Kashani M Mousavi M Jalalvandi |
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| Affiliation: | 1. BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI, U.S.A.;2. Department of Civil Engineering, Arak University, Arak, Iran |
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| Abstract: | Slope stability optimization, in the presence of a band of a weak layer between two strong layers, is accounted for in complicated geotechnical problems. Classical optimization algorithms are not suitable for solving such problems as they need a proper preliminary solution to converge to a valid result. Therefore, it is necessary to find a proper algorithm which is capable of finding the best global solution. Recently a lot of metaheuristic algorithms have been proposed which are able to evade local minima effectively. In this study four evolutionary algorithms, including well‐known and recent ones, such as genetic algorithm, differential evolution, evolutionary strategy and biogeography‐based optimization (BBO), are applied in slope stability analysis and their efficiencies are explored by three benchmark case studies. Result show BBO is the most efficient among these evolutionary algorithms and other proposed algorithms applied to this problem. Copyright © 2016 John Wiley & Sons, Ltd. |
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| Keywords: | evolutionary algorithms morgenstern and price method non‐circular slip surface biogeography‐based optimization differential evolution evolutionary strategy |
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