@inproceedings{46401,
  abstract     = {{Exploratory Landscape Analysis subsumes a number of techniques employed to obtain knowledge about the properties of an unknown optimization problem, especially insofar as these properties are important for the performance of optimization algorithms. Where in a first attempt, one could rely on high-level features designed by experts, we approach the problem from a different angle here, namely by using relatively cheap low-level computer generated features. Interestingly, very few features are needed to separate the BBOB problem groups and also for relating a problem to high-level, expert designed features, paving the way for automatic algorithm selection.}},
  author       = {{Mersmann, Olaf and Bischl, Bernd and Trautmann, Heike and Preuss, Mike and Weihs, Claus and Rudolph, Günter}},
  booktitle    = {{Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation}},
  isbn         = {{9781450305570}},
  keywords     = {{exploratory landscape analysis, evolutionary optimization, fitness landscape, benchmarking, BBOB test set}},
  pages        = {{829–836}},
  publisher    = {{Association for Computing Machinery}},
  title        = {{{Exploratory Landscape Analysis}}},
  doi          = {{10.1145/2001576.2001690}},
  year         = {{2011}},
}