Now showing items 1-5 of 5

  • An Adaptive Model-based Mutation Operator for the Wind Farm Layout Optimisation Problem

    Mayo, Michael; Daoud, Maisa (IEEE, 2015)
    A novel mutation operator for the wind farm layout optimisation problem is proposed and tested. When a wind farm layout is simulated, statistics such as an individual turbine’s wake free ratio can be computed. These ...
  • Aesthetic local search of wind farm layouts

    Mayo, Michael; Daoud, Maisa (MDPI, 2017)
    The visual impact of wind farm layouts has seen little consideration in the literature on the wind farm layout optimisation problem to date. Most existing algorithms focus on optimising layouts for power or the cost of ...
  • Informed mutation of wind farm layouts to maximise energy harvest

    Mayo, Michael; Daoud, Maisa (Elsevier, 2016)
    Correct placement of turbines in a wind farm is a critical issue in wind farm design optimisation. While traditional "trial and error"-based approaches suffice for small layouts, automated approaches are required for larger ...
  • Randomising block sizes for BlockCopy-based wind farm layout optimisation

    Mayo, Michael; Daoud, Maisa; Zheng, Chen (Springer International Publishing AG, 2016)
    The BlockCopy stochastic local search algorithm is a state-of-the-art optimiser for the Wind Farm Layout Optimisation problem. Unlike many other metaheuristics-based optimisers, BlockCopy requires the specification of only ...
  • A survey of neural network-based cancer prediction models from microarray data

    Daoud, Maisa; Mayo, Michael (Elsevier, 2019)
    Neural networks are powerful tools used widely for building cancer prediction models from microarray data. We review the most recently proposed models to highlight the roles of neural networks in predicting cancer from ...

Maisa Daoud has 2 co-authors in Research Commons.