Automatic calibration of a rapid flood spreading model using multiobjective optimisations

  title={Automatic calibration of a rapid flood spreading model using multiobjective optimisations},
  author={Yang Liu and Gareth Pender},
  journal={Soft Computing},
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… 
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Work Package: WP2 Urban Flood Modelling Document Name: Future impacts of urban growth and climate change on flood probability
The user thereof uses the information at its sole risk and neither the European Commission nor any member of the CORFU Consortium is liable for any use that may be made of the information.


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