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2011 (Vol. 3, Issue: 06)
Article Information:

A Survey on Meta-Heuristic Global Optimization Algorithms

Mohammad Khajehzadeh, Mohd Raihan Taha, Ahmed El-Shafie and Mahdiyeh Eslami
Corresponding Author:  Mohammad Khajehzadeh 

Key words:  Global optimization, metaheuristic algorithm, swarm intelligence, , , ,
Vol. 3 , (06): 569-578
Submitted Accepted Published
2011 May, 24 2011 June, 15 2011 June, 25
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.
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  Cite this Reference:
Mohammad Khajehzadeh, Mohd Raihan Taha, Ahmed El-Shafie and Mahdiyeh Eslami, 2011. A Survey on Meta-Heuristic Global Optimization Algorithms.  Research Journal of Applied Sciences, Engineering and Technology, 3(06): 569-578.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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