This new hybrid firefly algorithm is great for global optimization. It has better convergence properties and can avoid getting stuck in local optima. It combines the strengths of different algorithms to provide more accurate and reliable results in solving optimization tasks.
The key features of this algorithm include enhanced exploration and exploitation capabilities. It works well because it can handle large search spaces and converge to good solutions more efficiently. Also, it's flexible and can be adapted to different types of optimization problems.