Abstract
Genetic algorithms are widely applied bioinspired optimisation technique that search for a global optimal solution via three main genetic operators, namely selection, crossover, and mutation. In order to determine the operators importance when multi-population genetic algorithm is applied for parameter identification of S. cerevisiae fed-batch cultivation, recently presented procedure for significance assessment has been implemented. Based on obtained results the most significant genetic operator has been distinguished and its influence on finding the global optimal solution has been evaluated as well.
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