Optimisation of large wave farms using a multi-strategy evolutionary framework

@article{Neshat2020OptimisationOL,
  title={Optimisation of large wave farms using a multi-strategy evolutionary framework},
  author={M. Neshat and Bradley Alexander and Nataliia Y. Sergiienko and M. Wagner},
  journal={Proceedings of the 2020 Genetic and Evolutionary Computation Conference},
  year={2020}
}
  • M. Neshat, Bradley Alexander, +1 author M. Wagner
  • Published 2020
  • Computer Science, Engineering
  • Proceedings of the 2020 Genetic and Evolutionary Computation Conference
  • Wave energy is a fast-developing and promising renewable energy resource. The primary goal of this research is to maximise the total harnessed power of a large wave farm consisting of fully-submerged three-tether wave energy converters (WECs). Energy maximisation for large farms is a challenging search problem due to the costly calculations of the hydrodynamic interactions between WECs in a large wave farm and the high dimensionality of the search space. To address this problem, we propose a… CONTINUE READING

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