Grey Wolf Optimization (GWO) is a nature-inspired metaheuristic algorithm that mimics the leadership hierarchy and hunting behavior of grey wolves in the wild. It was introduced by Seyedali Mirjalili in 2014 as a swarm intelligence-based technique for solving optimization problems.
Grey Wolf Optimization (GWO) is a nature-inspired metaheuristic algorithm that mimics the leadership hierarchy and hunting behavior of grey wolves in the wild. It was introduced by Seyedali Mirjalili in 2014 as a swarm intelligence-based technique for solving optimization problems.
Source: Wikipedia "Grey Wolf Optimization" · CC BY-SA 4.0
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