IDA - Intelligent Data Analysis Research Group

BibTeX Entry

  file = {Posik2010CauchyEDAvsBIPOP.pdf},
  category = {ida-publications},
  author = {Petr Po{\v s}{\'i}k},
  title = {Comparison of Cauchy EDA and BIPOP-CMA-ES algorithms on the BBOB noiseless testbed},
  booktitle = {GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation},
  year = {2010},
  publisher = {ACM},
  address = {New York, NY, USA},
  pages = {1697-1702},
  url = {},
  keywords = {2010, bbob, benchmarking, cauchy, cma-es, ea},
  abstract = {Estimation-of-distribution algorithm using Cauchy sampling distribution is compared with the bi-population CMA evolutionary strategy which was one of the best contenders in the black-box optimization benchmarking workshop in 2009. The results clearly indicate that the CMA evolutionary strategy is in all respects a better optimization algorithm than the Cauchy estimation-of-distribution algorithm. This paper compares both algorithms in more detail and adds to the understanding of their key features and differences.},
  vvvs = {1},
  obory = {JC},
  projects = {MLSC},

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