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dc.contributor.authorManouchehrian, A.
dc.contributor.authorGholamnejad, J.
dc.contributor.authorSharifzadeh, Mostafa
dc.identifier.citationManouchehrian, A. and Gholamnejad, J. and Sharifzadeh, M. 2014. Development of a model for analysis of slope stability for circular mode failure using genetic algorithm. Environmental Earth Sciences. 71 (3): pp. 1267-1277.

Slope stability estimation is an engineering problem that involves several parameters. The interactions between factors that affect slope instability are complex and multi-factorial, so often it is difficult to describe the slope stability mathematically. This paper, proposes the use of a genetic algorithm (GA) as a heuristic search method to find a regression model for analyzing the slope stability. For this purpose, an evolutionary algorithm based on GA was used to develop a regression model for prediction of factor of safety (FS) for circular mode failure. The proposed GA uses the root mean squared error as the fitness function and searches among a large number of possible regression models to choose the best for estimation of FS from six geotechnical and geometrical parameters. For validation of the model and checking its efficiency, a validation dataset was used to evaluate FS using the proposed model and a previously developed mathematical GA based model in the literature. Results have shown that the presented model in this study was capable of evaluating FS at a higher level of confidence regarding the other model (R = 0.89 for presented model in this study comparing R = 0.78 for the other model) and can be efficient enough to be used as a simple mathematical tool for evaluation of factor of safety for circular mode failure especially in preliminary stages of the designing phase.

dc.titleDevelopment of a model for analysis of slope stability for circular mode failure using genetic algorithm
dc.typeJournal Article
dcterms.source.titleEnvironmental Earth Sciences
curtin.accessStatusFulltext not available

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