A Memetic Algorithm Using a Trust-Region Derivative-Free Optimization with Quadratic Modelling for Optimization of Expensive and Noisy Black-box Functions

Yoel Tenne, Steven William Armfield. A Memetic Algorithm Using a Trust-Region Derivative-Free Optimization with Quadratic Modelling for Optimization of Expensive and Noisy Black-box Functions. In Shengxiang Yang, Yew-Soon Ong, Yaochu Jin, editors, Evolutionary Computation in Dynamic and Uncertain Environments. Volume 51 of Studies in Computational Intelligence, pages 389-415, Springer, 2007. [doi]

@incollection{TenneA07,
  title = {A Memetic Algorithm Using a Trust-Region Derivative-Free Optimization with Quadratic Modelling for Optimization of Expensive and Noisy Black-box Functions},
  author = {Yoel Tenne and Steven William Armfield},
  year = {2007},
  doi = {10.1007/978-3-540-49774-5_17},
  url = {http://dx.doi.org/10.1007/978-3-540-49774-5_17},
  tags = {optimization},
  researchr = {https://researchr.org/publication/TenneA07},
  cites = {0},
  citedby = {0},
  pages = {389-415},
  booktitle = {Evolutionary Computation in Dynamic and Uncertain Environments},
  editor = {Shengxiang Yang and Yew-Soon Ong and Yaochu Jin},
  volume = {51},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-540-49772-1},
}