A survey on meta-heuristic global optimization algorithms

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

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Optimization has been an active area of research for several decades. As many real-world optimization problems become increasingly complex, better optimization algorithms are always needed. Recently, metaheuristic global optimization algorithms have become a popular choice for solving complex and intricate problems, which are otherwise difficult to solve by traditional methods. In the present study, an attempt is made to review the most popular and well known metaheuristic global optimization algorithms introduced during the past decades.

Original languageEnglish
Pages (from-to)569-578
Number of pages10
JournalResearch Journal of Applied Sciences, Engineering and Technology
Volume3
Issue number6
Publication statusPublished - 2011

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Global optimization

Keywords

  • Global optimization
  • Metaheuristic algorithm
  • Swarm intelligence

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)

Cite this

A survey on meta-heuristic global optimization algorithms. / Khajehzadeh, Mohammad; Taha, Mohd. Raihan; El-Shafie, Ahmed; Eslami, Mahdiyeh.

In: Research Journal of Applied Sciences, Engineering and Technology, Vol. 3, No. 6, 2011, p. 569-578.

Research output: Contribution to journalArticle

Khajehzadeh, Mohammad ; Taha, Mohd. Raihan ; El-Shafie, Ahmed ; Eslami, Mahdiyeh. / A survey on meta-heuristic global optimization algorithms. In: Research Journal of Applied Sciences, Engineering and Technology. 2011 ; Vol. 3, No. 6. pp. 569-578.
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