IDA - Intelligent Data Analysis Research Group

BibTeX Entry

@inproceedings{PosikGECCO2009DIRECT,
  file = {p2315.pdf},
  category = {ida-publications},
  author = {Petr Po{\v s}{\'i}k},
  title = {BBOB-benchmarking the DIRECT global optimization algorithm},
  booktitle = {GECCO '09: Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference},
  year = {2009},
  publisher = {ACM},
  address = {New York, NY, USA},
  pages = {2315--2320},
  url = {http://dx.doi.org/10.1145/1570256.1570323},
  keywords = {2009, bbob, benchmarking, direct, gecco},
  abstract = {The DIRECT global optimization algorithm is tested on the BBOB 2009 testbed. The algorithm is rather time and space consuming since it does not forget any point it samples during the optimization. Furthermore, all the sampled points are considered when deciding where to sample next. The results suggest that the algorithm is a viable alternative only for low-dimensional search spaces (5D at most).},
  vvvs = {1},
  obory = {JC, JD},
  zamer = {VZ BIO 2},
  projects = {MLSC},
}


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