Browsing by Author "Daoud, Maisa"
Now showing items 1-5 of 6
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An Adaptive Model-based Mutation Operator for the Wind Farm Layout Optimisation Problem
(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
(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 ... -
Autoencoder-based techniques for improved classification in settings with high dimensional and small sized data
(The University of Waikato, 2020)Neural network models have been widely tested and analysed usinglarge sized high dimensional datasets. In real world application prob-lems, the available datasets are often limited in size due to reasonsrelated to the ... -
Informed mutation of wind farm layouts to maximise energy harvest
(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
(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 ...
