Using Improved Hybrid Grey Wolf Algorithm Based on Artificial Bee Colony Algorithm Onlooker and Scout Bee Operators for Solving Optimization Problems

Abstract Grey Wolf optimization (GWO) is a newly developed stochastic meta-heuristic technique motivated by nature. It shows potential in diverse optimization challenges. It replicates grey wolf hunting behaviour and social hierarchy, exploring the solution space similar to their natural process. Th...

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Автори:	Ishaq Ahmad, Fawad Qayum, Sami Ur Rahman, Gautam Srivastava
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Springer 2024-05-01
Серія:	International Journal of Computational Intelligence Systems
Предмети:	Grey Wolf Stochastic Heuristics Ant colony Optimization
Онлайн доступ:	https://doi.org/10.1007/s44196-024-00497-6
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