Research Publications for Maisa T Daoud

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• Mayo, M., & Daoud, M. (2019). Data normalisation using differential evolution and aggregated logistic functions. In Proc 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) (pp. 920-927). Wellington, NZ. doi:10.1109/CEC.2019.8790251

  Other publications by:
  MAYO, Michael J :: DAOUD, Maisa T

• Daoud, M., Mayo, M., & Cunningham, S. J. (2019). RBFA: Radial Basis Function Autoencoders. In 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) (pp. 2966-2973). Wellington, NZ. doi:10.1109/CEC.2019.8790041

  Other publications by:
  DAOUD, Maisa T :: MAYO, Michael J :: CUNNINGHAM, Sally J (Sally Jo)

• Mayo, M., & Daoud, M. (2017). Aesthetic local search of wind farm layouts. Information, 8(2), 39. doi:10.3390/info8020039

  Open Access version at:
  https://hdl.handle.net/10289/11017
  Other publications by:
  MAYO, Michael J :: DAOUD, Maisa T

• Mayo, M. J., Daoud, M., & Zheng, C. (2016). Randomising block sizes for BlockCopy-based wind farm layout optimisation. In G. Leu, H. K. Singh, & S. Elsayed (Eds.), Proc 20th Asia Pacific Symposium on Intelligent and Evolutionary Systems Vol. Proceedings in Adaptation, Learning and Optimization 8 (pp. 277-289). Conference held Canberra, Australia: Springer. doi:10.1007/978-3-319-49049-6_20

  Open Access version at:
  https://hdl.handle.net/10289/10779
  Other publications by:
  MAYO, Michael J :: DAOUD, Maisa T :: ZHENG, Chen

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