High-speed dry hobbing technology is a green and efficient gear processing method. Under the precondition of ensuring the cutting quality, the hobbing parameters optimization can significantly enhance machining efficiency and decrease energy consumption. A multi-objective parrot optimizer based hobbing parameters optimization approach (MOPO-HPOA) is proposed for dry hobbing. First, MOPO is designed based on single-objective parrot optimizer (PO) and Pareto improvement. Second, MOPO is used to optimize hobbing parameters. The hobbing parameters correspond to the position of the parrot, and the optimization objectives such as energy consumption and cutting time correspond to the cost of the parrot. Finally, Optimal process parameters are obtained by using TOPSIS. The reliability of MOPO-HPOA is verified via the comparative experiment of MOPO-HPOA and the multi-objective grey wolf optimizer based hobbing parameters optimization approach (MOGWO-HPOA) under the same conditions. The results show that the performance of MOPO-HPOA is in good agreement with MOGWO-HPOA. In the solution set of ten runs, MOPO-HPOA is able to achieve the same optimal solution as MOGWO-HPOA with the optimal process parameters. Compared to MOGWO-HPOA, MOPO-HPOA requires less time and provides an advantage in preparing hobbing parameters.