Khudhur, Sami Nadhim Hussain (2026) The Strategic and Scientific Importance of Optimization Algorithms: The Grey Wolf Optimizer as a Model. American Journal of Integrated STEM Education, 3 (4). ISSN 2996-9395

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Abstract

This study examines the strategic and scientific importance of optimization algorithms, focusing on the Grey Wolf Optimizer (GWO) as a model. It addresses the need for fast, accurate tools to solve complex problems in energy, medicine, and artificial intelligence where traditional methods fail. The research analyzes GWO's behavioral roots in wolf pack hierarchy, its mathematical formulation, and its efficiency compared with competing algorithms. The study concludes that GWO's strength lies in its simplicity, reliability, and triple-leadership system (α, β, δ), which balances exploration and exploitation and avoids local optima, making it a key tool in modern engineering and AI applications.

Item Type:	Article
Uncontrolled Keywords:	Grey Wolf Optimizer, Swarm Intelligence, Bio-inspired Computing, Exploration and Exploitation, Optimization Algorithms
Subjects:	H Social Sciences
Depositing User:	admin eprints
Date Deposited:	29 Oct 2026 15:08
Last Modified:	29 Oct 2026 15:08
URI:	http://eprints.umsida.ac.id/id/eprint/17305

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