Design of sound phase diffusers by means of multiobjective optimization approach using ev-MOGA evolutionary algorithm

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• 作者：J. M. Herrero ; X. Blasco…
• 关键词：Sound diffusers ; 1 ; D Schroeder diffuser ; Multiobjective optimization ; Evolutionary algorithms
• 刊名：Structural and Multidisciplinary Optimization
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：53
• 期：4
• 页码：861-879
• 全文大小：1,608 KB
• 参考文献：Coello. C, Veldhuizen D, Lamont G (2002) Evolutionary algorithms for solving multi- objective problems. Kluwer Academic Publishers
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• 作者单位：J. M. Herrero (1) (4)
  X. Blasco (1) (4)
  J. V. Sánchez-Pérez (2) (4)
  J. Redondo (3) (4)
  
  1. Instituto Universitario de Automática e Informática Industrial, ai2, Valencia, Spain
  4. Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
  2. Centro de Tecnologías Físicas: Acústica, Materiales y Astrofísica, Valencia, Spain
  3. Instituto para la Gestión Integrada de las zonas Costeras, Valencia, Spain
  
• 刊物类别：Engineering
• 刊物主题：Theoretical and Applied Mechanics
  Computer-Aided Engineering and Design
  Numerical and Computational Methods in Engineering
  Engineering Design
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1615-1488

文摘

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.