Solving Suggested Problems using Grey Wolf Optimization

Issa, Nawras and Alaa, Zaid and Abed, Issa (2014) Solving Suggested Problems using Grey Wolf Optimization. In: Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey.

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Abstract

In this research, the Grey Wolf Optimizer (GWO) algorithm was applied, which is a type of metaheuristic optimization algorithms that is important for identifying problems and finding ways to improve them. In 2014, Seyedali Mirjalili came up with this algorithm. Its social hierarchy is modeled after

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 15:04
Last Modified: 17 Apr 2026 06:54
URI: http://eprints.eai.eu/id/eprint/37656

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