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

2012/01/17 by Omar Baqueiro Espinosa, Espinosa, Omar Baqueiro
Computer Science · #FOS: Computer and information sciences #J.4.2 #Other Computer Science (cs.OH) #cs.OH

paper · pdf · doi:10.48550/arxiv.1201.3456

arxiv created 2012/01/17 · arxiv updated 2012/01/18

Abstract

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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