Optimal construction sequencing for secant pile wall

Jieh Haur Chen, Li Ren Yang, Mu Chun Su, Jia Zheng Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Finding the optimal sequence so as to minimizing the construction time is one of the solutions to lower the construction costs. This study proposes an effective and efficient optimization algorithm, Self-Organizing feather Map based optimization (SOMO), to minimize the construction time with an application to a case study in obtaining the optimal sequences for both primary and secondary bored piles of a secant pile wall. The SOMO is a new developed algorithm according to the human brain that is capable of producing topologically ordered mapping, and that can occur in the evolution of the feature map for optimization. The results demonstrate that the optimal sequences for both primary and secondary bored piles are determined with 27.21% of time saving. The practicability of the SOMO algorithm is substantiated.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Pages2142-2147
Number of pages6
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 - Singapore, Singapore
Duration: 8 Dec 200811 Dec 2008

Publication series

Name2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008

Conference

Conference2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Country/TerritorySingapore
CitySingapore
Period8/12/0811/12/08

Keywords

  • Optimization
  • Sequencing
  • SOM
  • SOMO algorithm

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