Economic design of retaining wall using particle swarm optimization with passive congregation

Mohammad Khajehzadeh, Mohd. Raihan Taha, Ahmed El-Shafie, Mahdiyeh Eslami

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

This paper presents an effective optimization method for nonlinear constrained optimization of retaining structures. The proposed algorithm is based on the particle swarm optimization with passive congregation. The optimization procedure controls all geotechnical and structural design constraints while reducing the overall cost of the retaining wall. To applying the constraints, the algorithm employs penalty function method. To verify the efficiency of the proposed method, two design examples of retaining structures are illustrated. Comparison analysis between the results of the presented methodology, standard particle swarm optimization and nonlinear programming optimization method show the ability of the proposed algorithm to find better optimal solutions for retaining wall tasks than the others.

Original languageEnglish
Pages (from-to)5500-5507
Number of pages8
JournalAustralian Journal of Basic and Applied Sciences
Volume4
Issue number11
Publication statusPublished - Nov 2010

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Retaining walls
Particle swarm optimization (PSO)
Economics
Constrained optimization
Nonlinear programming
Structural design
Costs

Keywords

  • Economic design
  • Particle swarm optimization
  • Passive congregation
  • Retaining wall

ASJC Scopus subject areas

  • General

Cite this

Economic design of retaining wall using particle swarm optimization with passive congregation. / Khajehzadeh, Mohammad; Taha, Mohd. Raihan; El-Shafie, Ahmed; Eslami, Mahdiyeh.

In: Australian Journal of Basic and Applied Sciences, Vol. 4, No. 11, 11.2010, p. 5500-5507.

Research output: Contribution to journalArticle

Khajehzadeh, Mohammad ; Taha, Mohd. Raihan ; El-Shafie, Ahmed ; Eslami, Mahdiyeh. / Economic design of retaining wall using particle swarm optimization with passive congregation. In: Australian Journal of Basic and Applied Sciences. 2010 ; Vol. 4, No. 11. pp. 5500-5507.
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