@inproceedings{46406,
  abstract     = {{We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the 'best' one? and the second one: which algorithm should I use for my real world problem? Both are connected and neither is easy to answer. We present methods which can be used to analyse the raw data of a benchmark experiment and derive some insight regarding the answers to these questions. We employ the presented methods to analyse the BBOB'09 benchmark results and present some initial findings.}},
  author       = {{Mersmann, O and Trautmann, Heike and Naujoks, B and Weihs, C}},
  booktitle    = {{Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy}},
  editor       = {{Blum, C and Battiti, R}},
  pages        = {{333–337}},
  publisher    = {{Springer}},
  title        = {{{On the Distribution of EMOA Hypervolumes}}},
  volume       = {{6073}},
  year         = {{2010}},
}