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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8 Citations
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Methods Citations
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8 Citations

Citation Type

Citation Type

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  • Y. Liu
  • Computer Science
  • Expert Syst. Appl.
  • 2019

References

SHOWING 1-10 OF 18 REFERENCES
Automatic calibration of a rainfall-runoff model using a fast and elitist multi-objective particle swarm algorithm
  • Y. Liu
  • Computer Science
  • Expert Syst. Appl.
  • 2009
Automatic calibration of a conceptual rainfall-runoff model using multiple objectives.
Non-dominated sorting differential evolution algorithm for multi-objective optimal integrated generation bidding and scheduling
Hybridizing Cellular Automata Principles and NSGAII for Multi-objective Design of Urban Water Networks
Handling multiple objectives with particle swarm optimization
Multi-objective global optimization for hydrologic models
Evaluation of global optimization methods for conceptual rainfall-runoff model calibration
A fast and elitist multiobjective genetic algorithm: NSGA-II
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
Recent development and application of a rapid flood spreading method
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