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Paper detail

A Genetic Algorithm for the Calibration of a Micro-Simulation Model

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.

preprint2012arXivOpen access
Omar Baqueiro Espinosa
Other Computer Science
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Omar Baqueiro Espinosa

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