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In the framework of microbiology, Individual-based Models are discrete models in
which the main entities are microbes. Their use in simulations as ‘virtual experiments’ to predict
the evolution of populations under specific conditions requires accurate setting of the parameters
involved. We adapted and tested two optimization methods for Individual-based Model parameter
estimation: the Nelder-Mead Threshold Accepting (NMTA) and the NEWUOA. These methods
presented no convergence problems, and the best results in terms of time expenditure were derived
with the latter.
CitationPrats, C. [et al.]. Optimization methods for individual-based model parameter estimation in predictive microbiology. A: Vienna Conference on Mathematical Modelling. "6th Vienna Conference on Mathematical Modelling". Viena: 2009, p. 2635-2638.
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