The optimization of micro-perforated panel absorber based on self-adaption niche genetic algorithm

The absorption properties of Micro-perforated panel absorber depend mainly on its structure parameters. As a result, reasonable parameters can obtain better sound absorption. But it is unrealistic to search for the optimum parameters through the exhaustive search. Classical genetic algorithm is easy to fall into local optimal value and niche genetic algorithm operation is complicated and time consuming. Therefore, the Self-adaption niche genetic algorithm is used in optimizing monolayer and double layer micro perforated panel absorber in this paper. Wider band and higher absorption come true by searching for the optimal combination of parameters. Compared with the traditional genetic algorithm and simulated annealing algorithm which was tested under the same conditions, the results show that the average absorption coefficient is higher, optimization effect is better and the band is wider by using the parameter combination which is obtained by the Self-adaption niche genetic algorithm.