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Genetic Algorithms Using for a Batch Fermentation Process Identification

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This study presents the use of genetic algorithm methodology for identification of a micro-organism mixture batch fermentation process. This process is described by complex and nonlinear differential equations according the mass balance. The parameters of the model are estimated using a multi-objective genetic algorithm. Simulations of the model obtained show accuracy in prediction behaviour ofthe model.

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