Opposition-based firefly algorithm for earth slope stability evaluation

Mohammad Khajehzadeh, Mohd. Raihan Taha, Mahdiyeh Eslami

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper introduces a new approach of firefly algorithm based on opposition-based learning (OBFA) to enhance the global search ability of the original algorithm. The new algorithm employs opposition based learning concept to generate initial population and also updating agents’ positions. The proposed OBFA is applied for minimization of the factor of safety and search for critical failure surface in slope stability analysis. The numerical experiments demonstrate the effectiveness and robustness of the new algorithm.

Original languageEnglish
Pages (from-to)713-724
Number of pages12
JournalChina Ocean Engineering
Volume28
Issue number5
DOIs
Publication statusPublished - 15 Oct 2014

Fingerprint

Slope stability
slope stability
Earth (planet)
learning
stability analysis
safety
evaluation
experiment
Experiments

Keywords

  • firefly algorithm
  • opposition based learning
  • safety factor
  • slope stability

ASJC Scopus subject areas

  • Ocean Engineering
  • Oceanography
  • Mechanical Engineering
  • Renewable Energy, Sustainability and the Environment

Cite this

Opposition-based firefly algorithm for earth slope stability evaluation. / Khajehzadeh, Mohammad; Taha, Mohd. Raihan; Eslami, Mahdiyeh.

In: China Ocean Engineering, Vol. 28, No. 5, 15.10.2014, p. 713-724.

Research output: Contribution to journalArticle

Khajehzadeh, Mohammad ; Taha, Mohd. Raihan ; Eslami, Mahdiyeh. / Opposition-based firefly algorithm for earth slope stability evaluation. In: China Ocean Engineering. 2014 ; Vol. 28, No. 5. pp. 713-724.
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