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Title: Robust design of noise attenuation barriers with evolutionary multiobjective algorithms and the boundary element method
Authors: Greiner, David 
Galván, Blas 
Aznárez, Juan J. 
Maeso, Orlando 
Winter, Gabriel 
UNESCO Clasification: 1206 Análisis numérico
Keywords: Engineering design
Evolutionary multiobjective optimization
Noise barriers
Acoustic attenuation
Computational acoustics
Issue Date: 2009
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009 
Abstract: Multiobjective shape design of acoustic attenuation barriers is handled using a boundary element method modeling and evolutionary algorithms. Noise barriers are widely used for environmental protection near population nucleus in order to reduce the noise impact. The minimization of the acoustic pressure and the minimization of the cost of the barrier -considering its total length- are taken into account. First, a single receiver point is considered; then the case of multiple receiver locations is introduced, searching for a single robust shape design where the acoustic attenuation is minimized simultaneously in different locations using probabilistic dominance relation. The case of Y-shaped barriers with upper absorbing surface is presented here. Results include a comparative between the strategy of introducing a single objective optimum in the initial multiobjective population (seeded approach) and the standard approach. The methodology is capable to provide improved robust noise barrier designs successfully.
ISBN: 978-3-642-01019-4
ISSN: 0302-9743
DOI: 10.1007/978-3-642-01020-0_23
Source: Ehrgott M., Fonseca C.M., Gandibleux X., Hao JK., Sevaux M. (eds) Evolutionary Multi-Criterion Optimization. EMO 2009. Lecture Notes in Computer Science, vol 5467, p. 261-274. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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