Abstract
Hybrid differential evolution is applied to estimate the kinetic model parameters of batch fermentation for ethanol and glycerol production usingSaccharomyces diastaticus LORRE 316. In this study, we consider the worst observed error for all experiments as an objective function so that the parameter estimation problem becomes the min-max estimation problem. Several numerical methods have employed to solve the min-max estimation problem for comparison. The hybrid differential evolution can use a small population size to obtain a more satisfied solution as compared from these computations.
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