| Case study 1: Parameter identification of an model of E. coli fed-batch cultivation process | |
| Data contain results from parameter identification procedures using Genetic algorithm (GA) with 51 different values of parameter generation gap (ggap), i.e. 51 ‘objects’ in terms of ICA (O1, …, O51): • GA outcomes – objective function value and computation time (C1 and C2), • current value of ggap (C3), and • model parameters estimates (C4–C6), where Ci are ‘criteria’ in terms of ICA. |
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