An improved harmony search minimization algorithm using different slip surface generation methods for slope stability analysis

Yung Ming Cheng, L. Li, T. Lansivaara, S. C. Chi, Y. J. Sun

Research output: Journal article publicationJournal articleAcademic researchpeer-review

119 Citations (Scopus)


An improved harmony search algorithm is proposed which is found to be more efficient than the original harmony search algorithm for slope stability analysis. The effectiveness of the proposed algorithm is examined by considering several published cases. The improved harmony search method is applied to slope stability problems with five types of procedure for generating trial slip surfaces. It is demonstrated that the improved harmony search algorithm is efficient and effective for the minimization of factors of safety for various difficult problems, and the method of generating the trial failure surfaces can be important in the minimization process.
Original languageEnglish
Pages (from-to)95-115
Number of pages21
JournalEngineering Optimization
Issue number2
Publication statusPublished - 1 Feb 2008


  • Control variables
  • Factor of safety
  • Failure surface
  • Harmony search

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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