Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model

@inproceedings{Brochero2013EvolutionaryMO,
  title={Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model},
  author={Darwin Brochero and Christian Gagn{\'e} and François Anctil},
  booktitle={GECCO},
  year={2013}
}
We are proposing to use the Nondominated Sorting Genetic Algorithm II (NSGA-II) for optimizing a hydrological forecasting model of 800 simultaneous streamflow predictors. The optimization is based on the selection of the best 48 predictors from the 800 that jointly define the "best" ensemble in terms of two probabilistic criteria. Results showed that the… CONTINUE READING