Optimization of Noise Reduction Coefficient Based on Genetic Algorithm for Single Micro-perforated Panel Backed by Air Cavity

In this paper, we search for the optimal combination of main shape variables that can maximize the noise reduction coefficient of a sound absorption system using a single micro-perforated panel backed by a cavity. A genetic algorithm is selected as the optimization method, and an orthogonal array table of the design of experiments is introduced to improve the efficiency of the algorithm. Experiments and analysis for the optimization results are performed, and the results are compared. It is confirmed that the trends of the sound absorption coefficient across the frequency band are similar and the noise reduction coefficient has an error of approximately 3.2 %.