Automatic calibration of a rapid flood spreading model using multiobjective optimisations

@article{Liu2013AutomaticCO,
  title={Automatic calibration of a rapid flood spreading model using multiobjective optimisations},
  author={Y. Liu and G. Pender},
  journal={Soft Computing},
  year={2013},
  volume={17},
  pages={713-724}
}
In order to successfully calibrate a numerical model, multiple criteria should be considered. Multi-objective differential evolution (MODE) and multi-objective particle swarm optimisation (MOPSO) have proved effective in numerous such applications, where most of the techniques relying on the condition of Pareto efficiency to compare different solutions. We describe the performance of two population based search algorithms [nondominated sorting particle swarm optimisation (NSPSO), and… Expand
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