Metaheuristic optimisation of sound absorption performance of multilayered porous materials
* Presenting author
In multilayered-sound-packaging optimization, often the search space becomes very large to optimise by brute force as the number of acoustic parameters is increased. We present the application of different metaheuristics for the optimisation of multi-layered configurations involving porous materials for maximizing the sound absorption coefficient. The multi-layered system is composed of a stack of facing screens (i.e. a woven or non-woven textile, a perforated plate) and/or thicker porous material combinations, chosen from a database of common acoustic materials. In this case, the total thickness of the system is kept constant while the acoustical parameters of the layers are explored to obtain the parameters for the highest sound absorption coefficient. We study different representations of the structure. We also study different algorithms, including evolutionary and stochastic local search metaheuristic methods, and hybrids of these. We will report results comparing the performance of different combinations of representation and algorithms. This will be extended to include more layers and materials, to obtain improved sound packaging.