Now showing items 29-30 of 30

  • Temporal patterns in artificial reaction networks. 

    Gerrard, Claire E.; McCall, John; Coghill, George M.; Macleod, Christopher (Springer Verlag. http://www.springerlink.com/content/?k=(lncs+7552)+AND+(claire+gerrard), 2012-09)
    GERRARD, C., MCCALL, J., COGHILL, G. M. and MACLEOD, C., 2012. Temporal patterns in artificial reaction networks. In: A. E. P. VILLA et al (eds.) Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd Annual Conference on Artificial Neural Networks. 11-14 September 2012. Berlin: Springer. Pp. 1-8.
    The Artificial Reaction Network (ARN) is a bio-inspired connection-ist paradigm based on the emerging field of Cellular Intelligence. It has proper-ties in common with both AI and Systems Biology techniques including ...
  • Truck and trailer scheduling in a real world, dynamic and heterogeneous context. 

    Regnier-Coudert, Olivier; McCall, John; Ayodele, Mayowa; Anderson, Steven (Elsevier http://dx.doi.org/10.1016/j.tre.2016.06.010, 2016-07-14)
    REGNIER-COUDERT, O., MCCALL, J., AYODELE, M. and ANDERSON, S. 2016. Truck and trailer scheduling in a real world, dynamic and heterogeneous context. Transportation research part E: logistics and transportation review [online], 93, pages 389-408. Available from: http://dx.doi.org/10.1016/j.tre.2016.06.010
    We present a new variant of the Vehicle Routing Problem based on a real industrial scenario. This VRP is dynamic and heavily constrained and uses time-windows, a heterogeneous vehicle fleet and multiple types of job. A ...