Optimization of sonic crystal attenuation properties by ev-MOGA multiobjective evolutionary algorithm

  • J. M. Herrero
  • S. García-Nieto
  • X. Blasco
  • V. Romero-García
  • J. V. Sánchez-Pérez
  • L. M. Garcia-Raffi
Industrial Application

Abstract

This paper shows a promising method for acoustic barrier design using a new acoustic material called Sonic Crystals (SCs). The configuration of these SCs is set as a multiobjective optimization problem which is very difficult to solve with conventional optimization techniques. The paper presents a new parallel implementation of a Multiobjective Evolutionary Algorithm called ev-MOGA (also known as Open image in new window) and its application in a complex design problem. ev-MOGA algorithm has been designed to converge towards a reduced, but well distributed, representation of the Pareto Front (solution of the multiobjective optimization problem). The algorithm is presented in detail and its most important properties are discussed. To reduce the ev-MOGA computational cost when objective functions are substantial, a basic parallelization has been implemented on a distributed platform.

Keywords

Evolutionary multiobjective optimization Sonic cristals Parallel MOEA Acoustic attenuation 

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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • J. M. Herrero
    • 1
  • S. García-Nieto
    • 1
  • X. Blasco
    • 1
  • V. Romero-García
    • 2
  • J. V. Sánchez-Pérez
    • 2
  • L. M. Garcia-Raffi
    • 3
  1. 1.Department of Systems Engineering and ControlPolytechnic University of ValenciaValenciaSpain
  2. 2.Centro de Tecnologías FísicasPolytechnic University of ValenciaValenciaSpain
  3. 3.Instituto Universitario de Matemática Pura y AplicadaPolytechnic University of ValenciaValenciaSpain

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