Advances in Engineering Advances in Engineering features breaking research judged by Advances in Engineering advisory team to be of key importance in the Engineering field. Papers are selected from over 10,000 published each week from most peer reviewed journals.
Journal Reference
Structural and Multidisciplinary Optimization, 2016, Volume 53, Issue 4, pp 861–879.
M. Herrero1,4, X. Blasco1,4, J. V. Sánchez-Pérez2,4, J. Redondo3,4
[expand title=”Show Affiliations”]- Instituto Universitario de Automática e Informática Industrial, ai2 Valencia, Spain
- Centro de Tecnologías Físicas: Acústica, Materiales y AstrofísicaValencia, Spain
- Instituto para la Gestión Integrada de las zonas Costeras Valencia, Spain
- Universitat Politècnica de València, Valencia, Spain
Abstract
In this paper a new approach to design sound phase diffusers is presented. The acoustic properties of such diffusers are usually increased by using single objective optimization methods. Here we propose the use of a multiobjective (MO) approach to design them in order to take into account several conflicting characteristic simultaneously.
Three different MO problems are posed to consider various scenarios where fundamentally the objective is to maximize the normalized diffusion coefficient (following the corresponding Audio Engineering Society standard) for the so-called medium frequencies. This single objective could be divided into other several objectives to adjust performances to designer preferences.
A multi-objective evolutionary algorithm (called ev-MOGA) is used to characterize the Pareto front in a smart way. ev-MOGA is modified, by using integer codification and tuning some of its genetic operators, to adapt it to the new requirements.
Special interest is posed in selecting the diffusers codification properly to eliminate duplicities that would produce a multimodal problem. Precision in the manufacturing process is taking into account in the diffuser codification causing, that the number of different diffusers are quantified. Robust considerations related with the precision manufacturing process are considered in the decision making process. Finally, an optimal diffuser is selected considering designer preferences.
Go To Structural and Multidisciplinary Optimization