Now showing items 1-2 of 2

  • 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 ...
  • RK-EDA: a novel random key based estimation of distribution algorithm. 

    Ayodele, Mayowa; McCall, John; Regnier-Coudert, Olivier (Springer https://doi.org/10.1007/978-3-319-45823-6_79, 2016-08-31)
    AYODELE, M., MCCALL, J. and REGNIER-COUDERT, O. 2016. RK-EDA: a novel random key based estimation of distribution algorithm. Lecture notes in computer science, 9921, Proceedings of the 14th international parallel problem solving from nature conference (PPSN XIV), 17 -21 September 2016, Edinburgh, UK. Cham: Springer [online], pages 849-858. Available from: https://doi.org/10.1007/978-3-319-45823-6_79.
    The challenges of solving problems naturally represented as permutations by Estimation of Distribution Algorithms (EDAs) have been a recent focus of interest in the evolutionary computation community. One of the most common ...