All Outputs (3)

Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. (2009)
Thesis
BROWNLEE, A.E.I. 2009. Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. Robert Gordon University, PhD thesis.

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 reproduction operators. These alg... Read More about Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm..

DEUM: a framework for an estimation of distribution algorithm based on Markov random fields. (2006)
Thesis
SHAKYA, S.K. 2006. DEUM: a framework for an estimation of distribution algorithm based on Markov random fields. Robert Gordon University, PhD thesis.

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. They estimate a probability... Read More about DEUM: a framework for an estimation of distribution algorithm based on Markov random fields..

A lightweight, graph-theoretic model of class-based similarity to support object-oriented code reuse. (2003)
Thesis
MACLEAN, A. 2003. A lightweight, graph-theoretic model of class-based similarity to support object-oriented code reuse. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1871759

The work presented in this thesis is principally concerned with the development of a method and set of tools designed to support the identification of class-based similarity in collections of object-oriented code. Attention is focused on enhancing th... Read More about A lightweight, graph-theoretic model of class-based similarity to support object-oriented code reuse..