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

, , , , , and . CEC, page 5255-5261. IEEE, (2016)

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Evolution-in-materio: solving computational problems using carbon nanotube-polymer composites., , , , , and . Soft Comput., 20 (8): 3007-3022 (2016)Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms., , , , , , and . PPSN, volume 9921 of Lecture Notes in Computer Science, page 644-654. Springer, (2016)Evolution-In-Materio: Solving Machine Learning Classification Problems Using Materials., , , , , , and . PPSN, volume 8672 of Lecture Notes in Computer Science, page 721-730. Springer, (2014)Logic Gate and Circuit Training on Randomly Dispersed Carbon Nanotubes., , , , , and . Int. J. Unconv. Comput., 10 (5-6): 473-497 (2014)Evolution-in-materio: Solving function optimization problems using materials., , , , , , and . UKCI, page 1-8. IEEE, (2014)Solving binary classification problems with carbon nanotube / liquid crystal composites and evolutionary algorithms., , , , , , and . CEC, page 1924-1931. IEEE, (2017)Manipulating the conductance of single-walled carbon nanotubes based thin films for evolving threshold logic circuits using particle swarm optimisation., , , , , and . CEC, page 5255-5261. IEEE, (2016)