A genetic algorithm for slope stability analyses with concave slip surfaces using custom operators

Jurado Piña, Rafael and Jimenez Rodriguez, Rafael (2015). A genetic algorithm for slope stability analyses with concave slip surfaces using custom operators. "Engineering Optimization", v. 47 (n. 4); pp. 453-472. ISSN 0305-215X. https://doi.org/10.1080/0305215X.2014.895339.

Description

Title: A genetic algorithm for slope stability analyses with concave slip surfaces using custom operators
Author/s:
  • Jurado Piña, Rafael
  • Jimenez Rodriguez, Rafael
Item Type: Article
Título de Revista/Publicación: Engineering Optimization
Date: 2015
ISSN: 0305-215X
Volume: 47
Subjects:
Freetext Keywords: Slope stability; evolutionary algorithms; heuristic methods; limit equilibrium; Spencer method
Faculty: E.T.S.I. Caminos, Canales y Puertos (UPM)
Department: Ingeniería Civil: Transporte y Territorio
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Heuristic methods are popular tools to find critical slip surfaces in slope stability analyses. A new genetic algorithm (GA) is proposed in this work that has a standard structure but a novel encoding and generation of individuals with custom-designed operators for mutation and crossover that produce kinematically feasible slip surfaces with a high probability. In addition, new indices to assess the efficiency of operators in their search for the minimum factor of safety (FS) are proposed. The proposed GA is applied to traditional benchmark examples from the literature, as well as to a new practical example. Results show that the proposed GA is reliable, flexible and robust: it provides good minimum FS estimates that are not very sensitive to the number of nodes and that are very similar for different replications

More information

Item ID: 36032
DC Identifier: http://oa.upm.es/36032/
OAI Identifier: oai:oa.upm.es:36032
DOI: 10.1080/0305215X.2014.895339
Official URL: http://www.tandfonline.com/doi/abs/10.1080/0305215X.2014.895339#.VZQEULfNu1s
Deposited by: Memoria Investigacion
Deposited on: 01 Jul 2015 18:06
Last Modified: 01 Jul 2015 18:06
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