Heterogeneous slope stability optimization using firefly algorithm, simulate annealing and imperialistic competitive algorithm

Journal Title: International Research Journal of Applied and Basic Sciences - Year 2014, Vol 8, Issue 9

Abstract

Soil slope stability optimization with non-circular slip surface is considered as a complicated problem in geotechnical engineering. Therefore it is necessary to find a robust algorithm which is capable to find the best solution. In this paper the performance of three metaheuristic algorithms, firefly algorithm, simulate annealing and imperialistic competitive algorithm, are investigated and their results are compared to particle swarm optimization as a popular metaheuristic optimization algorithm. Three numerical examples are analyzed here and the algorithms results are compared. In order to evaluate soil slope stability a factor of safety (FOS) is defined. In the current study spencer method as one of the limit equilibrium method is selected for FOS calculating. In this way a computer program is developed in MATLAB code that is modeled producing non-circular slip surface and computing factor of safety. As a result imperialistic competitive algorithm is the best and firefly algorithm is the worst algorithm among here proposed algorithms.

Authors and Affiliations

AlirezaKashani*| Department of Civil Engineering, Arak University, Arak, Iran, Email: kashani.alirza@ymail.com, Mehdi Jalalvandi| Department of Civil Engineering, Arak University, Arak, Iran

Keywords

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  • EP ID EP6709
  • DOI -
  • Views 321
  • Downloads 12

How To Cite

AlirezaKashani*, Mehdi Jalalvandi (2014). Heterogeneous slope stability optimization using firefly algorithm, simulate annealing and imperialistic competitive algorithm. International Research Journal of Applied and Basic Sciences, 8(9), 1222-1235. https://europub.co.uk/articles/-A-6709