Manipulating the conductance of single-walled carbon nanotubes based thin films for evolving threshold logic circuits using particle swarm optimisation

Qaiser, F.; Kotsialos, A.; Massey, M.K.; Zeze, D.A.; Pearson, C.; Petty, M.C.

doi:10.1109/cec.2016.7748357

Manipulating the conductance of single-walled carbon nanotubes based thin films for evolving threshold logic circuits using particle swarm optimisation

Qaiser, F.; Kotsialos, A.; Massey, M.K.; Zeze, D.A.; Pearson, C.; Petty, M.C.

Authors

F. Qaiser

A. Kotsialos

M.K. Massey

D.A. Zeze

C. Pearson

M.C. Petty

Abstract

Evolution In Materio (EIM) is concerned with solving computational problems by exploiting the physical properties of materials. This paper presents the results of using a particle swarm optimisation (PSO) algorithm for evolving logic circuits in single-walled carbon nanotubes (SWCNT) based composites on a special custom made platform. The material used is a composite of SWCNT dispersed randomly in a polymer forming a complex conductive network. Following the EIM methodology the conductance of the material is manipulated for evolving threshold based logic circuits. The problem is formulated as a constrained, mixed integer optimisation problem. It is solved using PSO in conjunction with the shortest position value rule. The results showed that the conductive properties of SWCNT can be used to configure these materials to evolve multiple input/ output logic circuits.

Citation

Qaiser, F., Kotsialos, A., Massey, M., Zeze, D., Pearson, C., & Petty, M. (2016, July). Manipulating the conductance of single-walled carbon nanotubes based thin films for evolving threshold logic circuits using particle swarm optimisation. Presented at 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Canada

Presentation Conference Type	Conference Paper (published)
Conference Name	2016 IEEE Congress on Evolutionary Computation (CEC)
Start Date	Jul 24, 2016
End Date	Jul 29, 2016
Acceptance Date	Mar 16, 2016
Online Publication Date	Nov 21, 2016
Publication Date	Nov 21, 2016
Deposit Date	Feb 5, 2017
Publicly Available Date	Feb 6, 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	5255-5261
Book Title	2016 IEEE Congress on Evolutionary Computation (CEC) : 24-29 July 2016, Vancouver, Canada.
DOI	https://doi.org/10.1109/cec.2016.7748357
Public URL	https://durham-repository.worktribe.com/output/1147819

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