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Comparison of heuristics and metaheuristics for topology optimisation in acoustic porous materials

Ramamoorthy, Vivek T.; Özcan, Ender; Parkes, Andrew J.; Sreekumar, Abhilash; Jaouen, Luc; Bécot, François-Xavier

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Authors

Vivek T. Ramamoorthy

Profile image of ENDER OZCAN

ENDER OZCAN ender.ozcan@nottingham.ac.uk
Professor of Computer Science and Operational Research

Abhilash Sreekumar

Luc Jaouen

François-Xavier Bécot



Abstract

When designing sound packages, often fully filling the available space with acoustic materials is not the most absorbing solution. Better solutions can be obtained by creating cavities of air pockets, but determining the most optimal shape and topology that maximises sound absorption is a computationally challenging task. Many recent topology optimisation applications in acoustics use heuristic methods such as solid-isotropic-material-with-penalisation (SIMP) to quickly find near-optimal solutions. This study investigates seven heuristic and metaheuristic optimisation approaches including SIMP applied to topology optimisation of acoustic porous materials for absorption maximisation. The approaches tested are hill climbing, constructive heuristics, SIMP, genetic algorithm, tabu search, covariance-matrix-adaptation evolution strategy (CMA-ES), and differential evolution. All the algorithms are tested on seven benchmark problems varying in material properties, target frequencies, and dimensions. The empirical results show that hill climbing, constructive heuristics, and a discrete variant of CMA-ES outperform the other algorithms in terms of the average quality of solutions over the different problem instances. Though gradient-based SIMP algorithms converge to local optima in some problem instances, they are computationally more efficient. One of the general lessons is that different strategies explore different regions of the search space producing unique sets of solutions.

Citation

Ramamoorthy, V. T., Özcan, E., Parkes, A. J., Sreekumar, A., Jaouen, L., & Bécot, F. (2021). Comparison of heuristics and metaheuristics for topology optimisation in acoustic porous materials. Journal of the Acoustical Society of America, 150(4), 3164-3175. https://doi.org/10.1121/10.0006784

Journal Article Type Article
Acceptance Date Oct 3, 2021
Online Publication Date Oct 27, 2021
Publication Date Oct 1, 2021
Deposit Date Oct 29, 2021
Publicly Available Date Apr 2, 2022
Journal The Journal of the Acoustical Society of America
Print ISSN 0001-4966
Electronic ISSN 1520-8524
Publisher Acoustical Society of America
Peer Reviewed Peer Reviewed
Volume 150
Issue 4
Pages 3164-3175
DOI https://doi.org/10.1121/10.0006784
Keywords Acoustics and Ultrasonics; Arts and Humanities (miscellaneous)
Public URL https://nottingham-repository.worktribe.com/output/6544494
Publisher URL https://asa.scitation.org/doi/pdf/10.1121/10.0006784
Additional Information Copyright 2021 Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America. The following article appeared in The Journal of the Acoustical Society of America 150 (4), October 2021, and may be found at https://asa.scitation.org/doi/10.1121/10.0006784.

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