Now showing items 3-4 of 4

  • Predictive planning with neural networks. 

    Ainslie, Russell; McCall, John; Shakya, Siddhartha; Owusu, Gilbert (IEEE https://doi.org/10.1109/IJCNN.2016.7727460, 2016-07-24)
    AINSLIE, R., MCCALL, J., SHAKYA, S. and OWUSU, G. 2016. Predictive planning with neural networks. In Proceedings of the International joint conference on neural networks (IJCNN), 24-29 July 2016, Vancouver, Canada. Piscataway: IEEE [online], pages 2110-2117. Available from: https://doi.org/10.1109/IJCNN.2016.7727460
    Critical for successful operations of service industries, such as telecoms, utility companies and logistic companies, is the service chain planning process. This involves optimizing resources against expected demand to ...
  • Solving the ising spin glass problem using a bivariate RDA based on Markov random fields. 

    Shakya, Siddhartha; McCall, John; Brown, Deryck (IEEE http://dx.doi.org/10.1109/CEC.2006.1688408, 2006-07)
    SHAKYA, S., MCCALL, J. and BROWN, D., 2006. Solving the ising spin glass problem using a bivariate RDA based on Markov random fields. In: YEN, G., LUCAS, S., FOGEL, G., KENDALL, G., SALOMON, R., ZHANG, B.-T., COELLO, C. and RUNARSSON, T., eds. Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2006). 16-21 July 2006. New York: IEEE. pp. 908-915.
    Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs). An EDA using this technique was called Distribution ...