Genetic algorithm in stability of non-homogeneous slopes

Asha Udaya Rao, N. Sabhahit

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In recent years, genetic algorithm search procedure has been used to locate the critical slip surface of homogeneous slopes. It has been found that genetic algorithm is a robust search technique which often gives global solution. In the present study, genetic algorithm has been used to locate the critical slip surface of a nonhomogeneous slope in conjunction with slope stability analysis method developed by Janbu (1973) for generalized slip surface. The results obtained from the present study have been compared with Monte-Carlo search technique. The effect of various genetic algorithm parameters (population size, number of generations, crossover probability and mutation probability) on the solution has been studied. It has been found from the results that genetic algorithm gives better solution in terms of getting minimum factor of safety, compared to other methods.

Original languageEnglish
Title of host publication12th International Conference on Computer Methods and Advances in Geomechanics 2008
Pages1737-1743
Number of pages7
Volume3
Publication statusPublished - 01-12-2008
Event12th International Conference on Computer Methods and Advances in Geomechanics 2008 - Goa, India
Duration: 01-10-200806-10-2008

Conference

Conference12th International Conference on Computer Methods and Advances in Geomechanics 2008
CountryIndia
CityGoa
Period01-10-0806-10-08

Fingerprint

genetic algorithm
Slope
Genetic algorithms
Genetic Algorithm
Slip
Slope stability
Population Size
slope stability
stability analysis
Global Solution
Crossover
population size
Stability Analysis
mutation
Mutation
Safety
safety
method

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Applied Mathematics

Cite this

Rao, A. U., & Sabhahit, N. (2008). Genetic algorithm in stability of non-homogeneous slopes. In 12th International Conference on Computer Methods and Advances in Geomechanics 2008 (Vol. 3, pp. 1737-1743)
Rao, Asha Udaya ; Sabhahit, N. / Genetic algorithm in stability of non-homogeneous slopes. 12th International Conference on Computer Methods and Advances in Geomechanics 2008. Vol. 3 2008. pp. 1737-1743
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Rao, AU & Sabhahit, N 2008, Genetic algorithm in stability of non-homogeneous slopes. in 12th International Conference on Computer Methods and Advances in Geomechanics 2008. vol. 3, pp. 1737-1743, 12th International Conference on Computer Methods and Advances in Geomechanics 2008, Goa, India, 01-10-08.

Genetic algorithm in stability of non-homogeneous slopes. / Rao, Asha Udaya; Sabhahit, N.

12th International Conference on Computer Methods and Advances in Geomechanics 2008. Vol. 3 2008. p. 1737-1743.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - In recent years, genetic algorithm search procedure has been used to locate the critical slip surface of homogeneous slopes. It has been found that genetic algorithm is a robust search technique which often gives global solution. In the present study, genetic algorithm has been used to locate the critical slip surface of a nonhomogeneous slope in conjunction with slope stability analysis method developed by Janbu (1973) for generalized slip surface. The results obtained from the present study have been compared with Monte-Carlo search technique. The effect of various genetic algorithm parameters (population size, number of generations, crossover probability and mutation probability) on the solution has been studied. It has been found from the results that genetic algorithm gives better solution in terms of getting minimum factor of safety, compared to other methods.

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Rao AU, Sabhahit N. Genetic algorithm in stability of non-homogeneous slopes. In 12th International Conference on Computer Methods and Advances in Geomechanics 2008. Vol. 3. 2008. p. 1737-1743