Now showing items 1-2 of 2

  • Applying genetic algorithms to multi-objective land use planning 

    Matthews, Keith B.; Craw, Susan; Elder, S.; Sibbald, A.; MacKenzie, I. (Morgan Kaufmann (now Elsevier), 2000-07)
    MATTHEWS, K., CRAW, S., ELDER, S., SIBBALD, A. and MACKENZIE, I. 2000. Applying genetic algorithms to multi-objective land use planning. In: Proceedings of the Genetic and Evolutionary Computation Conference. 8-12 July 2000. Las Vegas, Nevada: Riviera Hotel and Casino. pp.613-620.
    This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an underlying structure of: fitness assignment ...
  • The synthesis of artificial neural networks using single string evolutionary techniques. 

    Macleod, Christopher (The Robert Gordon University School of Electronic and Electrical Engineering, 1999)
    The research presented in this thesis is concerned with optimising the structure of Artificial Neural Networks. These techniques are based on computer modelling of biological evolution or foetal development. They are ...