Efficient gravitational search algorithm for optimum design of retaining walls

Mohammad Khajehzadeh, Mohd. Raihan Taha, Mahdiyeh Eslami

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

In this paper, a new version of gravitational search algorithm based on opposition-based learning (OBGSA) is introduced and applied for optimum design of reinforced concrete retaining walls. The new algorithm employs the opposition-based learning concept to generate initial population and updating agents' position during the optimization process. This algorithm is applied to minimize three objective functions include weight, cost and CO2 emissions of retaining structure subjected to geotechnical and structural requirements. The optimization problem involves five geometric variables and three variables for reinforcement setups. The performance comparison of the new OBGSA and classical GSA algorithms on a suite of five well-known benchmark functions illustrate a faster convergence speed and better search ability of OBGSA for numerical optimization. In addition, the reliability and efficiency of the proposed algorithm for optimization of retaining structures are investigated by considering two design examples of retaining walls. The numerical experiments demonstrate that the new algorithm has high viability, accuracy and stability and significantly outperforms the original algorithm and some other methods in the literature.

Original languageEnglish
Pages (from-to)111-127
Number of pages17
JournalStructural Engineering and Mechanics
Volume45
Issue number1
Publication statusPublished - 10 Jan 2013

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Retaining walls
Optimum design
Reinforced concrete
Reinforcement
Costs

Keywords

  • Gravitational search algorithm
  • Minimum CO emissions
  • Minimum cost
  • Minimum weight
  • Retaining wall

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Mechanics of Materials

Cite this

Efficient gravitational search algorithm for optimum design of retaining walls. / Khajehzadeh, Mohammad; Taha, Mohd. Raihan; Eslami, Mahdiyeh.

In: Structural Engineering and Mechanics, Vol. 45, No. 1, 10.01.2013, p. 111-127.

Research output: Contribution to journalArticle

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