A genetic algorithm for the calibration of a micro-simulation model
OB Espinosa - arXiv preprint arXiv:1201.3456, 2012 - arxiv.org
OB Espinosa
arXiv preprint arXiv:1201.3456, 2012•arxiv.orgThis paper describes the process followed to calibrate a micro-simulation model for the
Altmark region in Germany and a Derbyshire region in the UK. The calibration process is
performed in three main steps: first, a subset of input and output variables to use for the
calibration process is selected from the complete parameter space in the model; second, the
calibration process is performed using a genetic algorithm calibration approach; finally, a
comparison between the real data and the data obtained from the best fit model is done to …
Altmark region in Germany and a Derbyshire region in the UK. The calibration process is
performed in three main steps: first, a subset of input and output variables to use for the
calibration process is selected from the complete parameter space in the model; second, the
calibration process is performed using a genetic algorithm calibration approach; finally, a
comparison between the real data and the data obtained from the best fit model is done to …
This paper describes the process followed to calibrate a micro-simulation model for the Altmark region in Germany and a Derbyshire region in the UK. The calibration process is performed in three main steps: first, a subset of input and output variables to use for the calibration process is selected from the complete parameter space in the model; second, the calibration process is performed using a genetic algorithm calibration approach; finally, a comparison between the real data and the data obtained from the best fit model is done to verify the accuracy of the model.
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