The artificial bee colony (ABC) algorithm is widely applied in many fields, but it suffers from slow convergence, so its solutions perform well in exploration but poorly in exploitation. Researchers proposed a scale-free mechanism to guide the search of the ABC algorithm. They verified that scale-free networks improve the algorithm's optimization performance and enhance the search ability of other metaheuristic algorithms.