Design of Noise Reduction Structure of Porous Muffler Based on Ant Colony Algorithm

The design of noise reduction structure plays an important role in porous mufflers, but there is the problem of inaccurate noise reduction positioning. The traditional decision tree algorithm cannot solve the problem of noise reduction structure design in porous muffler, and the effect is not ideal. Therefore, this paper proposes a design of porous muffler noise reduction structure based on ant colony algorithm and analyzes the noise reduction structure design of porous muffler. Firstly, the ant colony optimization behavior theory is used to locate the influencing factors, and the indicators is divided according to the requirements of noise reduction structure design to reduce the interference factors in noise reduction structure design. Then, the ant colony optimization behavior theory is used to form the noise reduction structure design scheme of ant colony algorithm, and the noise reduction structure design results is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation criteria, the ant colony algorithm is better than the traditional decision tree algorithm in terms of noise reduction structure design accuracy and noise reduction structure design influencing factor time.