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

Related Articles

Needs Analysis in EAP of Computer and Mechanical Engineering English Courses The Case of Islamic Azad university of Shiraz

The present study is an attempt to carry out a needs analysis of Iranian undergraduate students studying computer and mechanical engineering. A total of 365 undergraduate students and eight EAP instructors participated i...

The Evolution of Television Broadcasting Rights during the Summer Olympic Games

This study offered a historical review of Television broadcasting rights in the Summer Olympic Games since the beginning of the first signing contract (Rome 1960 Summer Olympic Games) to the Beijing 2008 Olympic Games fo...

Application of Genetic Algorithm Optimization and Least Square Method for depth determination from residual gravity anomalies

This paper presents a combining method for depth determination of a buried structure from residual gravity anomalies along profile. Solving nonlinear equations using genetic algorithms till faces some problems. It often...

Evaluation of mercury pollution in breast milk and Iranian infants’ hair

Breast milk is the main nutrition for the children of 4-6 months old. The mercury of mother’s body may be transferred to infant via milk. Mercury is a neural toxic metal and endangers the proper growth of infants. This p...

Effects of mother’s education on nutrition condition in children between 0-2 years in Zanjan

The mother s education is of great importance and has a strong theoretical and research background in increasing of the status of nutrition children0-2years old. The present study was designed to evaluate the effect moth...

Download PDF file
  • EP ID EP6709
  • DOI -
  • Views 276
  • 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