Multi-objective optimization of foundation using global-local gravitational search algorithm

Mohammad Khajehzadeh, Mohd. Raihan Taha, Mahdiyeh Eslami

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper introduces a novel optimization technique based on gravitational search algorithm (GSA) for numerical optimization and multi-objective optimization of foundation. In the proposed method, a chaotic time varying system is applied into the position updating equation to increase the global exploration ability and accurate local exploitation of the original algorithm. The new algorithm called global-local GSA (GLGSA) is applied for optimization of some well-known mathematical benchmark functions as well as two design examples of spread foundation. In the foundation optimization, two objective functions include total cost and CO2 emissions of the foundation subjected to geotechnical and structural requirements are considered. From environmental point of view, minimization of embedded CO2 emissions that quantifies the total amount of carbon dioxide emissions resulting from the use of materials seems necessary to include in the design criteria. The experimental results demonstrate that, the proposed GLGSA remarkably improves the accuracy, stability and efficiency of the original algorithm.

Original languageEnglish
Pages (from-to)257-273
Number of pages17
JournalStructural Engineering and Mechanics
Volume50
Issue number3
DOIs
Publication statusPublished - 2014

Fingerprint

Multiobjective optimization
Time varying systems
Carbon dioxide
Costs

Keywords

  • Cemissions optimization
  • Cost optimization
  • Gravitational search algorithm
  • Spread foundation

ASJC Scopus subject areas

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

Cite this

Multi-objective optimization of foundation using global-local gravitational search algorithm. / Khajehzadeh, Mohammad; Taha, Mohd. Raihan; Eslami, Mahdiyeh.

In: Structural Engineering and Mechanics, Vol. 50, No. 3, 2014, p. 257-273.

Research output: Contribution to journalArticle

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