Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case

Peter A. N. Bosman, Han La Poutré. Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case. In Hod Lipson, editor, Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007. pages 1165-1172, ACM, 2007. [doi]

@inproceedings{BosmanP07,
  title = {Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case},
  author = {Peter A. N. Bosman and Han La Poutré},
  year = {2007},
  doi = {10.1145/1276958.1277187},
  url = {http://doi.acm.org/10.1145/1276958.1277187},
  tags = {optimization},
  researchr = {https://researchr.org/publication/BosmanP07},
  cites = {0},
  citedby = {0},
  pages = {1165-1172},
  booktitle = {Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007},
  editor = {Hod Lipson},
  publisher = {ACM},
  isbn = {978-1-59593-697-4},
}