Modified harmony methods for slope stability problems

Yung Ming Cheng

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

3 Citations (Scopus)

Abstract

In many practical slope stability problems, a thin layer of soft material with very low shear strength parameters may exist. Such soft and thin soil layer has caused many large scale slope failures in Hong Kong and many other places. Determining the critical failure surface with the smallest factor of safety for such a problem is extremely difficult. This chapter proposes a domain transformation technique, which is coupled with two new versions of improved harmony search algorithms to ensure both the efficiency and effectiveness of optimization analysis for large scale difficulty problems. The improved harmony search algorithms differ from the original harmony search algorithm in that: (1) the harmonies are rearranged into several pairs and the better pairs are used to develop several new harmonies; (2) different probabilities are assigned to different harmonies. The robustness of the newly proposed methods is demonstrated by using some difficult slope stability problems, and the improvement in the efficiency of the new algorithms is examined with respect to some large scale slope stability problems in China.
Original languageEnglish
Title of host publicationMusic-Inspired Harmony Search Algorithm
Subtitle of host publicationTheory and Applications
Pages141-162
Number of pages22
DOIs
Publication statusPublished - 24 Mar 2009

Publication series

NameStudies in Computational Intelligence
Volume191
ISSN (Print)1860-949X

Keywords

  • Factor of safety
  • Global minimum
  • Modified harmony search
  • Objective function
  • Slope stability

ASJC Scopus subject areas

  • Artificial Intelligence

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