Now showing items 2-4 of 4

  • 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 ...
  • Statistical optimisation and tuning of GA factors. 

    Petrovski, Andrei; Brownlee, Alexander Edward Ian; McCall, John (IEEE http://dx.doi.org/10.1109/CEC.2005.1554759, 2005-09)
    PETROVSKI, A., BROWNLEE, A. and MCCALL, J., 2005. Statistical optimisation and tuning of GA factors. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2005), Volume 1. 2-5 September 2005. New York: IEEE. pp. 758-764.
    This paper presents a practical methodology of improving the efficiency of Genetic Algorithms through tuning the factors significantly affecting GA performance. This methodology is based on the methods of statistical ...
  • Structural coherence of problem and algorithm: an analysis for EDAs on all 2-bit and 3-bit problems. 

    Brownlee, Alexander Edward Ian; McCall, John; Christie, Lee A. (IEEE http://dx.doi.org/10.1109/CEC.2015.7257139, 2015-05)
    BROWNLEE, A. E. I., MCCALL, J. A. W. and CHRISTIE, L. A., 2015. Structural coherence of problem and algorithm: an analysis for EDAs on all 2-bit and 3-bit problems. In: 2015 IEEE Congress on Evolutionary Computation (CEC): Proceedings. 25-28 May 2015. Piscataway, NJ: IEEE. Pp. 2066-2073.
    Metaheuristics assume some kind of coherence between decision and objective spaces. Estimation of Distribution algorithms approach this by constructing an explicit probabilistic model of high fitness solutions, the ...