Global optimization analysis of slope stability by simulated annealing with dynamic bounds and Dirac function

Yung Ming Cheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)

Abstract

In slope stability analysis, the search for the minimum factor of safety is a difficult NP-hard global minimization problem as the objective function is non-smooth and non-convex and there are multiple local minima. The use of a simulated annealing method where the control variables are controlled within dynamic domains instead of the conventional static domains is proposed. A simple transformation technique for slopes with a soft band domain (equivalent to a Dirac function) is also proposed. With these improvements, the minimum factor of safety for complicated problems can be determined with high accuracy and reasonable computer time. The proposed algorithm is demonstrated to be efficient and effective for various difficult problems.
Original languageEnglish
Pages (from-to)17-32
Number of pages16
JournalEngineering Optimization
Volume39
Issue number1
DOIs
Publication statusPublished - 1 Jan 2007

Keywords

  • Control variables
  • Dynamic domains
  • Minimum factor of safety
  • Simulated annealing

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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