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Dr. Julian Francis Miller


  1. 2017
  2. Reservoir Computing as a model for in materio computing

    Dale, M. N., Miller, J. F. & Stepney, S. 2017 Advances in Unconventional Computing. Adamatsky, A. (ed.). Springer, Vol. 1, p. 533-571

    Research output: ResearchChapter

  3. Reservoir Computing in materio with LEDs

    Dale, M. N., Miller, J. F., Stepney, S. & Trefzer, M. A. 2017

    Research output: Research - peer-reviewPaper

  4. 2016
  5. Evolving Carbon Nanotube Reservoir Computers

    Dale, M. N., Miller, J. F., Stepney, S. & Trefzer, M. A. 15 Jun 2016 Unconventional Computation and Natural Computation: 15th International Conference, UCNC 2016, Manchester, UK, July 11-15, 2016, Proceedings. Amos, M. & Condon, A. (eds.). Springer, p. 49-61 13 p. (Lecture Notes in Computer Science; vol. 9726)

    Research output: ResearchConference contribution

  6. Iterative Cartesian Genetic Programming: Creating general algorithms for solving Travelling Salesman Problems

    Ryser-Welch, P., Miller, J. F., Swan, J. & Trefzer, M. A. 1 Jun 2016 EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming. Heywood, M. I., McDermott, J., Castelli, M., Costa, E. & Sim, K. (eds.). Porto, Portugal: Springer-Verlag, Vol. 9594, p. 294-310 17 p. (LNCS)

    Research output: ResearchConference contribution

  7. Reservoir Computing in Materio: An Evaluation of Configuration through Evolution

    Dale, M. N., Stepney, S., Miller, J. F. & Trefzer, M. A. 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016 . IEEE

    Research output: Research - peer-reviewChapter (peer-reviewed)

  8. 2015
  9. 2014
  10. Practical issues for configuring carbon nanotube composite materials for computation

    Clegg, K. D., Miller, J. F., Massey, K. & Petty, M. 2014 2014 IEEE Symposium Series on Computational Intelligence: IEEE International Conference on Evolvable Systems - Proceedings. IEEE, p. 61 - 68 8 p.

    Research output: ResearchConference contribution

  11. Travelling Salesman Problem Solved ‘in materio’ by Evolved Carbon Nanotube Device

    Clegg, K. D., Miller, J. F., Massey, K. & Petty, M. 2014 Parallel Problem Solving from Nature – PPSN XIII: 13th International Conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings. Springer International Publishing, Vol. 8672, p. 692-701 10 p. 8672. (Lecture Notes in Computer Science; vol. 8672)

    Research output: ResearchConference contribution

  12. 2013
  13. Fast learning neural networks using Cartesian genetic programming

    Khan, M. M., Ahmad, . A. M., Khan, . G. M. & Miller, J. F. 9 Dec 2013

    Article in Neurocomputing

  14. Semantic Bias in Program Coevolution

    Seaton, T. A., Miller, J. F. & Clarke, T. 2 Apr 2013 p. 193-204

    Research output: Research - peer-reviewPaper

  15. The Importance of Topology Evolution in NeuroEvolution: A Case Study Using Cartesian Genetic Programming of Artificial Neural Networks

    Turner, A. J. & Miller, J. F. 2013 Research and Development in Intelligent Systems XXX. Bramer, M. & Petridis, M. (eds.). Springer International Publishing, p. 213-226 14 p. (Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence)

    Research output: ResearchOther chapter contribution

  16. 2011
  17. Cartesian Genetic Programming

    Miller, J. F. (ed.) 17 Sep 2011 SPRINGER-VERLAG BERLIN. 344 p. (Natural Computing)

    Research output: ResearchBook

  18. Medical Applications of Cartesian Genetic Programming

    Smith, S. L., Walker, J. A. & Miller, J. F. 2011 Cartesian Genetic Programming. Springer

    Research output: ResearchChapter

  19. 2010
  20. Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network

    Trefzer, M. A., Kuyucu, T., Miller, J. F. & Tyrrell, A. Sep 2010 p. 61-72 11 p.

    Research output: Research - peer-reviewPaper

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