A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters

@article{Neshat2019AHE,
  title={A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters},
  author={M. Neshat and Bradley Alexander and Nataliia Y. Sergiienko and Markus Wagner},
  journal={Proceedings of the Genetic and Evolutionary Computation Conference},
  year={2019}
}
Ocean wave energy is a source of renewable energy that has gained much attention for its potential to contribute significantly to meeting the global energy demand. In this research, we investigate the problem of maximising the energy delivered by farms of wave energy converters (WEC's). We consider state-of-the-art fully submerged three-tether converters deployed in arrays. The goal of this work is to use heuristic search to optimise the power output of arrays in a size-constrained environment… Expand
12 Citations
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