Audio Circuits Evolution through Genetic Algorithms

P. Coelho, J. M. do Amaral, E. N. Da Rocha, M. Bentes

2022

Abstract

This paper focuses on the implementation of an extrinsic platform in order to develop audio electronic circuits with known topologies. This platform uses genetic algorithms to choose the best components to achieve a specific goal. All the proposed topologies have been consolidated in the audio market and due to this aspect, the technique has not proposed new possibilities for them. However, the generation mechanism of these alternatives is studied in depth, approaching their theoretical potential. User specifications of the proposed interface define the evolution of the circuit. The developed platform compares the graphic of a simulation with a graphic which is generated by a function in MATLAB. The similarity between these curves is used as the fitness function to evolve the circuit components values. All the work was done in MATLAB and Simulink. As MATLAB is used to run the codes and create desired curves with its function, its tool Simulink is used to simulate circuits and to carry out transfer functions analysis. Case studies are presented to illustrate the method which are analogic filters used in audio applications. These circuits were evolved by using the free package GAOT for MATLAB.

Paper Citation

in Harvard Style

Coelho P., M. do Amaral J., N. Da Rocha E. and Bentes M. (2022). Audio Circuits Evolution through Genetic Algorithms. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-569-2, pages 514-520. DOI: 10.5220/0011062500003179

in Bibtex Style

@conference{iceis22,
author={P. Coelho and J. M. do Amaral and E. N. Da Rocha and M. Bentes},
title={Audio Circuits Evolution through Genetic Algorithms},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2022},
pages={514-520},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011062500003179},
isbn={978-989-758-569-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Audio Circuits Evolution through Genetic Algorithms
SN - 978-989-758-569-2
AU - Coelho P.
AU - M. do Amaral J.
AU - N. Da Rocha E.
AU - Bentes M.
PY - 2022
SP - 514
EP - 520
DO - 10.5220/0011062500003179