A new hybrid firefly algorithm for foundation optimization

Mohammad Khajehzadeh, Mohd. Raihan Taha, Mahdiyeh Eslami

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This paper presents a new hybrid optimization algorithm by integrating the firefly algorithm (FA) with the sequential quadratic programming (SQP), namely FaSqp, for optimum design of reinforced concrete foundation. The new algorithm combines the global exploration ability of the FA to converge rapidly to a near optimum solution, and the accurate local exploitation ability of the SQP to accelerate the search process and find an accurate solution. This algorithm is applied to minimize two objective functions including total cost and CO 2 emissions of the foundation subjected to geotechnical and structural requirements. The reliability and efficiency of the proposed algorithm are investigated by considering a set of six benchmark functions and two design examples of spread footing. The numerical experiments demonstrate that the new algorithm has high viability, accuracy and stability and significantly outperforms the original algorithm.

Original languageEnglish
Pages (from-to)279-288
Number of pages10
JournalNational Academy Science Letters
Volume36
Issue number3
DOIs
Publication statusPublished - Jun 2013

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Quadratic programming
Reinforced concrete
Costs
Experiments
Optimum design

Keywords

  • Firefly algorithm
  • Hybridization
  • Optimization
  • Spread footing

ASJC Scopus subject areas

  • Engineering (miscellaneous)

Cite this

A new hybrid firefly algorithm for foundation optimization. / Khajehzadeh, Mohammad; Taha, Mohd. Raihan; Eslami, Mahdiyeh.

In: National Academy Science Letters, Vol. 36, No. 3, 06.2013, p. 279-288.

Research output: Contribution to journalArticle

Khajehzadeh, Mohammad ; Taha, Mohd. Raihan ; Eslami, Mahdiyeh. / A new hybrid firefly algorithm for foundation optimization. In: National Academy Science Letters. 2013 ; Vol. 36, No. 3. pp. 279-288.
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