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Solving Binary Classification Problems with Carbon Nanotube / Liquid Crystal Composites and Evolutionary Algorithms

Vissol-Gaudin, Eléonore; Kotsialos, Apostolos; Massey, M. Kieran; Groves, Christopher; Pearson, Christopher; Zeze, Dagou A.; Petty, Michael C.

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Authors

Apostolos Kotsialos

M. Kieran Massey

Christopher Groves

Christopher Pearson

Dagou A. Zeze

Michael C. Petty



Abstract

This paper presents a series of experiments demonstrating the capacity of single-walled carbon-nanotube (SWCNT)/liquid crystal (LC) mixtures to be trained by evolutionary algorithms to act as classifiers on linear and nonlinear binary datasets. The training process is formulated as an optimisation problem with hardware in the loop. The liquid SWCNT/LC samples used here are un-configured and with nonlinear current-voltage relationship, thus presenting a potential for being evolved. The nature of the problem means that derivative-free stochastic search algorithms are required. Results presented here are based on differential evolution (DE) and particle swarm optimisation (PSO). Further investigations using DE, suggest that a SWCNT/LC material is capable of being reconfigured for different binary classification problems, corroborating previous research. In addition, it is able to retain a physical memory of each of the solutions to the problems it has been trained to solve.

Citation

Vissol-Gaudin, E., Kotsialos, A., Massey, M. K., Groves, C., Pearson, C., Zeze, D. A., & Petty, M. C. (2017). Solving Binary Classification Problems with Carbon Nanotube / Liquid Crystal Composites and Evolutionary Algorithms. In 2017 IEEE Congress on Evolutionary Computation (CEC) : 5-8 June 2017, Donostia-San Sebastián, Spain ; proceedings (1924-1931). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cec.2017.7969536

Acceptance Date Mar 7, 2017
Online Publication Date Jul 7, 2017
Publication Date Jul 7, 2017
Deposit Date Mar 16, 2017
Publicly Available Date Apr 6, 2017
Publisher Institute of Electrical and Electronics Engineers
Pages 1924-1931
Book Title 2017 IEEE Congress on Evolutionary Computation (CEC) : 5-8 June 2017, Donostia-San Sebastián, Spain ; proceedings
ISBN 9781509046027
DOI https://doi.org/10.1109/cec.2017.7969536

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Accepted Book Chapter (1.5 Mb)
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© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.





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