Evolving Analog Electronic Circuits for Fuzzy Membership Functions Generation

P. H. G. Coelho, J. M. do Amaral, Y. Bacelar, E. N. Da Rocha, M. Bentes

2022

Abstract

Recent research advances in fuzzy systems applications as controllers of increasingly complex systems motivate the consideration of analog circuits capable of implementing fuzzy logic. The purpose of this paper is to evolve the component values of known topologies of analog circuits to generate membership functions. In order to accomplish that, a hybrid model is used for the evolution of electronic circuits, based on genetic algorithms, using a fuzzy system to evaluate multiple objectives. The traditional fitness assessment of genetic algorithms is modified, so that a fuzzy system is effectively responsible for the assessment, thus being able to aggregate the different objectives of the electronic design and generating a fitness value for each circuit in the population. The proposed model presents a simpler and more interpretable way of inserting preferences and specifications, as it uses fuzzy logic. Such specifications are inserted before the evolution of the circuit, ensuring that it is guided in the desired direction, preventing the designer from having to choose the most appropriate solution at the end of the process. An implementation based purely on simulation of circuit models was chosen, providing a flexible environment.

Paper Citation

in Harvard Style

H. G. Coelho P., M. do Amaral J., Bacelar Y., N. Da Rocha E. and Bentes M. (2022). Evolving Analog Electronic Circuits for Fuzzy Membership Functions Generation. In Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - Volume 1: FCTA; ISBN 978-989-758-611-8, SciTePress, pages 175-182. DOI: 10.5220/0011549800003332

in Bibtex Style

@conference{fcta22,
author={P. H. G. Coelho and J. M. do Amaral and Y. Bacelar and E. N. Da Rocha and M. Bentes},
title={Evolving Analog Electronic Circuits for Fuzzy Membership Functions Generation},
booktitle={Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - Volume 1: FCTA},
year={2022},
pages={175-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011549800003332},
isbn={978-989-758-611-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - Volume 1: FCTA
TI - Evolving Analog Electronic Circuits for Fuzzy Membership Functions Generation
SN - 978-989-758-611-8
AU - H. G. Coelho P.
AU - M. do Amaral J.
AU - Bacelar Y.
AU - N. Da Rocha E.
AU - Bentes M.
PY - 2022
SP - 175
EP - 182
DO - 10.5220/0011549800003332
PB - SciTePress