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Journal of Intelligent Systems and Internet of Things
Volume 1 , Issue 1, PP: 48-60 , 2020 | Cite this article as | XML | Html |PDF


A Survey on Meta-heuristic Algorithms for Global Optimization Problems

Authors Names :   Abdel Nasser H. Zaied, Mahmoud Ismail and Salwa El- Sayed*   1 *  

1  Affiliation :  Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Egypt

    Email :  salwaelsayed_93@yahoo.com; mahsabe@yahoo.com; nasserhr@yahoo.com

Doi   :   https://doi.org/10.54216/JISIoT.010104

Abstract :

Optimization is a more important field of research. With increasing the complexity of real-world problems, the more efficient and reliable optimization algorithms vital. Traditional methods are unable to solve these problems so, the first choice for solving these problems becomes meta-heuristic algorithms. Meta-heuristic algorithms proved their ability to solve more complex problems and giving more satisfying results. In this paper, we introduce the more popular meta-heuristic algorithms and their applications in addition to providing the more recent references for these algorithms.

Keywords :

Optimization; Meta-heuristic algorithms; Nature-inspired algorithms

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Cite this Article as :
Abdel Nasser H. Zaied, Mahmoud Ismail and Salwa El- Sayed*, A Survey on Meta-heuristic Algorithms for Global Optimization Problems, Journal of Intelligent Systems and Internet of Things, Vol. 1 , No. 1 , (2020) : 48-60 (Doi   :  https://doi.org/10.54216/JISIoT.010104)