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Slope stability analyzing using recent swarm intelligence techniques
Author(s) -
Gandomi Amir H.,
Kashani Ali R.,
Mousavi Mehdi,
Jalalvandi Mehdi
Publication year - 2014
Publication title -
international journal for numerical and analytical methods in geomechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.419
H-Index - 91
eISSN - 1096-9853
pISSN - 0363-9061
DOI - 10.1002/nag.2308
Subject(s) - maxima and minima , stability (learning theory) , particle swarm optimization , mathematical optimization , swarm intelligence , multi swarm optimization , function (biology) , computer science , mathematics , algorithm , machine learning , mathematical analysis , evolutionary biology , biology
Summary Slope stability analysis of soil with a weak layer sandwiched between two strong layers is considered as a complex geotechnical problem. In this problem, the objective function is non‐convex and discontinuous with the presence of multiple strong local minima. Classical optimization techniques fail to converge to a valid solution unless a proper initial trial is adopted. Even though many new optimization algorithms have emerged, they have not been applied to geotechnical problems yet. In the present study, some recent swarm intelligence algorithms are adopted for some complicated example of slope stability problems and benchmarked with the traditional particle swarm optimization algorithm. From the results, it seems the levy flight krill herd algorithm is the most efficient method over proposed algorithms for this kind of problem. Copyright © 2014 John Wiley & Sons, Ltd.