Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem

Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama. Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem. In Shengxiang Yang, Yew-Soon Ong, Yaochu Jin, editors, Evolutionary Computation in Dynamic and Uncertain Environments. Volume 51 of Studies in Computational Intelligence, pages 417-434, Springer, 2007. [doi]

@incollection{TezukaMA07,
  title = {Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem},
  author = {Masaru Tezuka and Masaharu Munetomo and Kiyoshi Akama},
  year = {2007},
  doi = {10.1007/978-3-540-49774-5_18},
  url = {http://dx.doi.org/10.1007/978-3-540-49774-5_18},
  tags = {optimization},
  researchr = {https://researchr.org/publication/TezukaMA07},
  cites = {0},
  citedby = {0},
  pages = {417-434},
  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},
}