Now showing items 1-3 of 3

  • DEUM: A Framework for an Estimation of Distribution Algorithm based on Markov Random Fields 

    Shakya, Siddhartha (The Robert Gordon University School of Computing, Faculty of Design and Technology, The Robert Gordon University, Aberdeen, UK, 2006-04)
    Estimation of Distribution Algorithms (EDAs) belong to the class of population based optimisation algorithms. They are motivated by the idea of discovering and exploiting the interaction between variables in the solution. ...
  • Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. 

    Brownlee, Alexander Edward Ian (The Robert Gordon University School of Computing, 2009-05)
    A well-known paradigm for optimisation is the evolutionary algorithm (EA). An EA maintains a population of possible solutions to a problem which converges on a global optimum using biologically-inspired selection and ...
  • Partial structure learning by subset Walsh transform. 

    Christie, Lee A.; Lonie, David P.; McCall, John (IEEE http://dx.doi.org/10.1109/UKCI.2013.6651297, 2013)
    CHRISTIE, L. A., LONIE, D. P., and McCALL, J. A. W., 2013. Partial structure learning by subset Walsh transform. In: Proceedings of the 2013 UK Workshop on Computational Intelligence (UKCI), 2013. IEEE Press, pp. 128-135.
    Estimation of distribution algorithms (EDAs) use structure learning to build a statistical model of good solutions discovered so far, in an effort to discover better solutions. The non-zero coefficients of the Walsh ...